Literature DB >> 29602323

The factor structure of the Medical Outcomes Study-Social Support Survey: A comparison of different models in a sample of recently diagnosed cancer patients.

Amador Priede1, Yolanda Andreu2, Paula Martínez2, Andrea Conchado3, María Ruiz-Torres4, César González-Blanch4.   

Abstract

OBJECTIVE: To analyse the factor structure and psychometric properties of the original and abbreviated versions of the Medical Outcomes Study-Social Support Survey (MOS-SSS) in recently-diagnosed cancer patients.
METHOD: A sample of 128 newly-diagnosed cancer patients were assessed with the Spanish versions of the MOS-SSS and the Hospital Anxiety and Depression Scale (HADS). Confirmatory factor analyses were conducted to analyse six different factor structures. Internal consistency and convergent validity indexes were calculated. The models tested included all of the following: 1) the original five-factor model (comprised of the following dimensions: emotional, informational, and tangible support, positive social interaction, and affection); 2) a four-factor empirical solution; 3 & 4) two different three-factor structures obtained in studies conducted in cancer patients; and 5 & 6) a two-factor solution for the abbreviated 8-item form and a one-factor solution for the 6-item form.
RESULTS: The original five-factor structure showed a better fit index than the three and four factor models. Both the 6- and 8-item versions showed excellent goodness-of-fit, with adequate internal consistency and convergent validity indexes.
CONCLUSION: The MOS-SSS is a powerful, highly flexible instrument to assess social support in cancer patients. The full 19-item scale allows for a comprehensive assessment of the essential dimensions of social support, while the abbreviated versions permit a quick assessment that minimizes the burden on patients.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Cancer; Confirmatory factor analysis; Medical Outcomes Study – Social Support Survey; Psychological distress; Psychometrics; Social support

Mesh:

Year:  2018        PMID: 29602323     DOI: 10.1016/j.jpsychores.2018.02.008

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  6 in total

1.  Prevalence and factors associated with fear of recurrence in a mixed sample of young adults with cancer.

Authors:  Breanna E Lane; Sheila N Garland; Karine Chalifour; Geoff Eaton; Sophie Lebel; Jacqueline Galica; Christine Maheu; Sébastien Simard
Journal:  J Cancer Surviv       Date:  2019-08-29       Impact factor: 4.442

2.  Psychometric properties and factor structure of the Medical Outcomes Study Social Support Survey Instrument in a sample of Spanish older adults.

Authors:  Cristina G Dumitrache; Laura Rubio; José Luis Cabezas Casado; Eulogio Cordón-Pozo
Journal:  Eur J Ageing       Date:  2021-03-26

3.  Social support modifies the association between hazardous drinking and depression symptoms among ART clients in Vietnam.

Authors:  M X Nguyen; D Dowdy; C A Latkin; H E Hutton; G Chander; C Frangakis; K E Lancaster; T Sripaipan; Q X Bui; H V Tran; V F Go
Journal:  Drug Alcohol Depend       Date:  2020-08-25       Impact factor: 4.492

4.  Psychosocial functioning of caregivers of pediatric brain tumor survivors.

Authors:  Carolyn R Bates; Diane Fairclough; Robert B Noll; Maru E Barrera; Mary Jo Kupst; Anna M Egan; Maria A Gartstein; Emily L Ach; Cynthia A Gerhardt; Kathryn Vannatta
Journal:  Pediatr Blood Cancer       Date:  2022-01-19       Impact factor: 3.167

5.  Medical care disruptions during the first six months of the COVID-19 pandemic: the experience of older breast cancer survivors.

Authors:  A Dilawari; K E Rentscher; W Zhai; X Zhou; T A Ahles; J Ahn; T N Bethea; J E Carroll; H J Cohen; D A Graham; H S L Jim; B McDonald; Z M Nakamura; S K Patel; J C Root; B J Small; A J Saykin; D Tometich; K Van Dyk; J S Mandelblatt
Journal:  Breast Cancer Res Treat       Date:  2021-09-13       Impact factor: 4.872

6.  Impact of COVID-19 on mobility and participation of older adults living in Hamilton, Ontario, Canada: a multimethod cohort design protocol.

Authors:  Marla K Beauchamp; Brenda Vrkljan; Renata Kirkwood; Elisabeth Vesnaver; Luciana G Macedo; Heather Keller; Janie Astephen-Wilson; Nazmul Sohel; Tara Noble; Nicholas Dietrich; Paula Gardner; K Bruce Newbold; Darren Scott
Journal:  BMJ Open       Date:  2021-12-16       Impact factor: 2.692

  6 in total

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