Elucidating the Relationship between Worry and Physical Health

2010 ◽  
Vol 1 (1) ◽  
pp. jep.008210 ◽  
Author(s):  
Evelyn Behar ◽  
R. Kathryn McHugh ◽  
Michael W. Otto

Research indicates a relationship between trait worry and physical health, such that individuals with high levels of trait worry display physical health problems (e.g., upper respiratory infections, cardiological problems, immune system impairment). However, existing studies do not address whether three constructs that are theoretically and empirically related to worry – trait anxiety, anxiety sensitivity, and depression – might better account for the observed relationship between worry and physical health status. Participants completed measures of trait worry, trait anxiety, anxiety sensitivity, depression symptom severity, and health status. Results indicated that worry serves as a proxy risk factor for health status through the influence of trait anxiety and depressive symptoms, with both of these variables being related to mental health status, and only trait anxiety being related to physical health status. Anxiety sensitivity did not explain the relationship between trait worry and either type of health status. Theoretical and clinical implications are discussed.

2018 ◽  
Author(s):  
Enitan T Marcelle ◽  
Laura Nolting ◽  
Stephen P Hinshaw ◽  
Adrian Aguilera

BACKGROUND Although psychotherapy is one of the most efficacious and effective treatments for depression, limited accessibility to trained providers markedly limits access to care. In an attempt to overcome this obstacle, several platforms seeking to provide these services using digital modalities (eg, video, text, and chat) have been developed. However, the use of these modalities individually poses barriers to intervention access and acceptability. Multimodal platforms, comprising those that allow users to select from a number of available modalities, may be able to provide a solution to these concerns. OBJECTIVE We aimed to investigate the preliminary effectiveness of providing psychotherapy through a multimodal digital psychotherapy platform. In addition, we aimed to examine differential responses to intervention by gender, self-reported physical health status, and self-reported financial status, as well as how prior exposure to traditional face-to-face psychotherapy affected the effectiveness of a multimodal digital psychotherapy intervention. Finally, we aimed to examine the dose-response effect. METHODS Data were collected from a total of 318 active users of BetterHelp, a multimodal digital psychotherapy platform. Data on physical health status, financial status, and prior exposure to psychotherapy were obtained using self-report measures. Effectiveness was determined by the extent of symptom severity change, which was measured using the Patient Health Questionnaire at Time 1 (time of enrollment) and Time 2 (3 months after enrollment). Intervention dosage was measured as the sum of individual therapist-user interactions across modalities. RESULTS Depression symptom severity was significantly reduced after the use of the multimodal digital psychotherapy intervention (P<.001). Individuals without prior traditional psychotherapy experience revealed increased improvement after intervention (P=.006). We found no significant dose-response effect of therapy, nor significant differences in outcomes across gender, self-reported financial status, and self-reported physical health status. CONCLUSIONS Users of BetterHelp experienced significantly reduced depression symptom severity after engaging with the platform. Study findings suggest that this intervention is equally effective across gender, self-reported financial status, and self-reported physical health status and particularly effective for individuals without a history of psychotherapy. Overall, study results suggest that multimodal digital psychotherapy is a potentially effective treatment for adult depression; nevertheless, experimental trials are needed. We discuss directions for future research.


2017 ◽  
Vol 27 (1) ◽  
pp. 153-157 ◽  
Author(s):  
Ursula Running Bear ◽  
◽  
Calvin D. Croy ◽  
Carol E. Kaufman ◽  
Zaneta M. Thayer ◽  
...  

1999 ◽  
Vol 85 (1) ◽  
pp. 220-226 ◽  
Author(s):  
Gloria A. Leitschuh

The relationship between coping and physical health status was examined for 100 undergraduate students using the COPE scale and the Medical Index (formerly identified as the Cornell Medical Index). Using stepwise multiple regression, scores for COPE scales—alcohol or drug use, and focus on and venting of emotions accounted for significant amounts of variance (but only 10% and 5%, respectively) in the scores for physical health symptoms reported.


2011 ◽  
Vol 1 (2) ◽  
Author(s):  
Bhuvanesh Shukla ◽  
Dushyant Shukla

Orphanages are a vulnerable group in any socio-economic setting simply because they are deprived of one or both of their primary care givers. The level of vulnerability they face however increases significantly with the level of poverty. In India below 18’s population is 42,06,78,000 among them 2,57,00,000 are orphan children. That constitute a major part of the below 18’s population (UNICEF, 2005). Orphans are a group of underprivileged population in society. The evidence from the pediatric and child psychiatry literature makes clear that orphanages are neither an effective nor a humane mode of assistance to infants and families. Orphans are some of the most underprivileged children in the world. With few exceptions, children without parents are deprived of many of the basic rights such as food, shelter, education, and a family environment. Orphanage children are deprived of their primary care givers thus more prone to physical health problems.


2009 ◽  
Author(s):  
Kristen Allison ◽  
Kimberly Fleming ◽  
Tamara Newton ◽  
Rafael Fernandez-Botran ◽  
James Miller ◽  
...  

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