Psychometric Properties of the Brazilian Health Locus of Control Scale

1994 ◽  
Vol 75 (1) ◽  
pp. 91-94 ◽  
Author(s):  
Patricia Paine ◽  
Luiz Pasquali ◽  
Eduardo de São Paulo ◽  
Ana Lúcia P. Bianchi ◽  
Andrea C. Solha

Based on social learning theory, the construct of health locus of control has proven valuable in predicting a wide variety of health-related behaviors. In studying this concept among Brazilians, the psychometric properties of the Multidimensional Health Locus of Control Scale translated into Brazilian Portuguese were investigated in a sample of 280 middle-class persons. Three types of health locus of control were verified, internal, powerful others, and chance. Further refinement of subscales is needed to improve internal consistency reliabilities.

2015 ◽  
Vol 116 (3) ◽  
pp. 889-913 ◽  
Author(s):  
Thomas P. Ross ◽  
Lisa Thomson Ross ◽  
Stephen D. Short ◽  
Shayla Cataldo

2016 ◽  
Vol 8 (2) ◽  
pp. 49-60 ◽  
Author(s):  
Bena Cartmill ◽  
Laurelie R. Wall ◽  
Elizabeth C. Ward ◽  
Anne J. Hill ◽  
Sandro V. Porceddu

Understanding end-user populations is required in designing telepractice applications. This study explored computer literacy and health locus of control in head/neck cancer (HNC) patients to inform suitability for telerehabilitation. Sixty individuals with oropharygneal cancer were recruited. Computer literacy was examined using a 10-question survey. The Multidimensional Health Locus of Control Scale Form C (MHLC-C) examined perceptions of health “control”.  Participants were mostly middle-aged males, from high socioeconomic backgrounds. Only 10% were non-computer users. Of the computers users, 91% reported daily use, 66% used multiple devices and over 75% rated themselves as “confident” users. More than half were open to using technology for health-related activities. High internal scores (MHLC-C) signified a belief that own behaviour influenced health status.  HNC patients have high computer literacy and an internal health locus of control, both are positive factors to support telepractice models of care. This may include asynchronous models requiring heightened capacity for self-management.


2014 ◽  
Author(s):  
Ayman M. Hamdan-Mansour ◽  
Lily R. Marmash ◽  
Rana Alayyan ◽  
Saba Y. Hyarat

2020 ◽  
Author(s):  
Eva Kostolanská ◽  
Tomáš Řiháček ◽  
Jolana Stehlíková ◽  
Hynek Cígler

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