scholarly journals Blaming others for their illness: The influence of health‐related implicit theories on blame and social support

Author(s):  
Simone Dohle ◽  
Mike Schreiber ◽  
Tobias Wingen ◽  
Marie Baumann

2019 ◽  
Author(s):  
Olufolake Olabode ◽  
Timothy Omoluru ◽  
Olawunmi Olagundoye ◽  
Akinyele Akinlade ◽  
Henry Akujobi ◽  
...  


2021 ◽  
pp. 1-10
Author(s):  
Rosanne Freak-Poli ◽  
Joanne Ryan ◽  
Thach Tran ◽  
Alice Owen ◽  
Joanna McHugh Power ◽  
...  


2013 ◽  
Vol 11 (1) ◽  
pp. 118 ◽  
Author(s):  
Solomon J Lubinga ◽  
Gillian A Levine ◽  
Alisa M Jenny ◽  
Joseph Ngonzi ◽  
Peter Mukasa-Kivunike ◽  
...  


2018 ◽  
Vol 49 (2) ◽  
pp. 250-259 ◽  
Author(s):  
Joyce T. Bromberger ◽  
Laura L. Schott ◽  
Nancy E. Avis ◽  
Sybil L. Crawford ◽  
Sioban D. Harlow ◽  
...  

AbstractBackgroundPsychosocial and health-related risk factors for depressive symptoms are known. It is unclear if these are associated with depressive symptom patterns over time. We identified trajectories of depressive symptoms and their risk factors among midlife women followed over 15 years.MethodsParticipants were 3300 multiracial/ethnic women enrolled in a multisite longitudinal menopause and aging study, Study of Women's Health Across the Nation. Biological, psychosocial, and depressive symptom data were collected approximately annually. Group-based trajectory modeling identified women with similar longitudinal patterns of depressive symptoms. Trajectory groups were compared on time-invariant and varying characteristics using multivariable multinomial analyses and pairwise comparisons.ResultsFive symptom trajectories were compared (50% very low; 29% low; 5% increasing; 11% decreasing; 5% high). Relative to whites, blacks were less likely to be in the increasing trajectory and more likely to be in the decreasing symptom trajectory and Hispanics were more likely to have a high symptom trajectory than an increasing trajectory. Psychosocial/health factors varied between groups. A rise in sleep problems was associated with higher odds of having an increasing trajectory and a rise in social support was associated with lower odds. Women with low role functioning for 50% or more visits had three times the odds of being in the increasing symptom group.ConclusionsChanges in psychosocial and health characteristics were related to changing depressive symptom trajectories. Health care providers need to evaluate women's sleep quality, social support, life events, and role functioning repeatedly during midlife to monitor changes in these and depressive symptoms.







2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
C.M. Sousa Albuquerque ◽  
V.D. Franco ◽  
C.P. Ferreira O Albuquerque ◽  
C.P. Baptista Mota

This investigation's main goal was to determine if some psychosocial (self-concept, control locus, assertiveness and satisfaction towards social support) and cognitive variables (health beliefs and attitudes towards health) were associated to health related behaviours. The sample was constituted by 829 teenagers, 382 male and 447 female, whose average age is 14.66 years old, who attended the 9th grade of the public and daily schools in the district of Viseu, Portugal.Results:1.Study on the association between health and risk behaviours and psychosocial variables: The better the self-concept, the better the behaviours; The higher the satisfaction with social support, the better the behaviours; The higher the assertiveness, the better the behaviours; The association between control locus and healthy and risk behaviours is not significant.2.Study on the association between health and risk behaviours and cognitive variables: The more favourable the attitudes towards health, the better the behaviours; The more adequate the health beliefs, the better the behaviours.3.Study on the psychosocial variables interaction effects with cognitive variables in health and risk behaviour prediction: The interaction variable was revealed as the best health and risk behaviour predictor is the variable resulting from Factor 1 - behavioural aspect (Self-Concept) and Factor 4 - preventive attitude (Attitudes Towards Health) interaction, with a determination coefficient (R2) of .409. The patterned coefficient analysis Beta (beta=.427) indicates that the higher this interaction effect (F1 - behavioural aspect * F4 - preventive attitude) the better the behaviours.



Sign in / Sign up

Export Citation Format

Share Document