Effects of a Cognitive Behavioral-Based Stress Management Program on Stress Management Competency, Self-efficacy and Self-esteem Experienced by Nursing Students

2019 ◽  
Vol 44 (1) ◽  
pp. E1-E5 ◽  
Author(s):  
Ulrik Terp ◽  
Fredrik Hjärthag ◽  
Birgitta Bisholt
Keyword(s):  
Nursing Students ◽  
Stress Management ◽  
Self Efficacy ◽  
Self Esteem ◽  
Management Program ◽  
Cognitive Behavioral ◽  
Stress Management Program ◽  
Management Competency

Effects of a Behavioral Stress-Management Program on Anxiety, Mood, Self-Esteem, and T-Cell Count in HIV-Positive Men

1995 ◽  
Vol 76 (2) ◽  
pp. 451-457 ◽  
Author(s):  
Douglas N. Taylor
Keyword(s):  
T Cell ◽  
Treatment Group ◽  
Cell Count ◽  
Stress Management ◽  
Self Esteem ◽  
Management Program ◽  
Hiv Positive ◽  
Behavioral Stress ◽  
Stress Management Program ◽  
Hiv Positive Men

This study evaluated the effects of a behavioral stress-management program on anxiety, mood, self-esteem, and T-cell count in a group of HIV-positive men who were asymptomatic except for T-cell counts below 400. The program consisted of 20 biweekly sessions of progressive muscle relaxation and electromyograph biofeedback-assisted relaxation training, meditation, and hypnosis. Ten subjects were randomly assigned to either a treatment group or a no-treatment control group, and the 2 groups were compared on pre- to posttreatment changes in the dependent measures. Analysis showed that, compared with the no-treatment group, the treatment group showed significant improvement on all the dependent measures, which was maintained at a 1-mo. follow-up. Since stress is known to compromise the immune system, these results suggest that stress management to reduce arousal of the nervous system and anxiety would be an appropriate component of a treatment regimen for HIV infection.

Effects of an Internet-based machine-guided stress management program based on cognitive behavioral therapy applying artificial intelligence technologies on improving depression among workers: a protocol for a randomized controlled trial (Preprint)

2021 ◽  
Author(s):  
Norito Kawakami ◽  
Kotaro Imamura ◽  
Kazuhiro Watanabe ◽  
Yuki Sekiya ◽  
Natsu Sasaki ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Behavioral Therapy ◽  
Stress Management ◽  
Repeated Measures ◽  
Primary Outcome ◽  
Behavioral Therapy ◽  
Intervention Group ◽  
Management Program ◽  
Cognitive Behavioral ◽  
Stress Management Program

BACKGROUND The effect of an unguided cognitive-behavioral therapy-based (CBT) stress management program on depression may be enhanced by applying artificial intelligence (AI) technologies to guide participants’ learning. OBJECTIVE The objective of this study is to propose a research protocol to investigate the effect of a newly developed machine-guided CBT stress management program on improving depression among workers during an outbreak of COVID-19. METHODS This study is a two-arm, parallel randomized control trial. Participants (N = 1,400) will be recruited and those who meet the inclusion criteria will be randomly allocated to the intervention or control (treatment as usual) group. A six-week, six-module Internet-based stress management program, SMART-CBT, has been developed that includes machine-guided exercises to help participants acquire CBT skills, applying machine learning and deep learning technologies. The intervention group will participate in the program for 10 weeks. Depression as the primary outcome will be measured using the Beck Depression Inventory II at baseline and in 3- and 6-month follow-up surveys. A mixed model repeated measures analysis will be used to test the intervention effect (group × time interactions) in the total sample (universal prevention), on an intention-to-treat basis. RESULTS The study was at the stage of recruitment of the participants at the time of submission. The data analysis of the primary outcome will start in January 2022, and the results could be published in 2022. CONCLUSIONS This is the first study to investigate the effectiveness of a fully-automated, machine-guided iCBT program on improving subthreshold depression among workers using a RCT design. The study will explore the potential of a machine-guided stress management program that can be disseminated online to a large number of workers with minimal cost in the post-COVID-19 era. CLINICALTRIAL Trial registration number: UMIN000043897 (May 31, 2021).

A Pilot Randomized Controlled Trial of the Shogi-assisted Cognitive Behavioral Therapy (S-CBT) Preventive Stress Management Program

2021 ◽  
Author(s):  
Hirokazu Furukawa ◽  
Shota NODA ◽  
Chiho KITASHIMA ◽  
Manami OMINE ◽  
Takumi FUKUMOTO ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Stress Management ◽  
Behavioral Therapy ◽  
Management Program ◽  
Waiting List ◽  
Automatic Thoughts ◽  
Cognitive Behavioral ◽  
Control Group ◽  
Problem Solving Skills ◽  
Stress Management Program

Abstract Background: Shogi is a traditional board game in Japan, and a preventative stress management program based on Shogi-assisted cognitive behavioral therapy (S-CBT) has been applied in the Japanese municipality of Kakogawa City. The study aimed to develop an S-CBT preventive stress management program for the elderly and determine its efficacy.Methods: The participants were 67 elderly men with amateur-level Shogi skills. They were randomly assigned to either the S-CBT group (n = 33) or the waiting-list control group (n = 34). The S-CBT program was conducted over six 90-min sessions. The outcome measures were recorded using the K6 instrument, the Japanese version of the abbreviated Lubben Social Network Scale, five items on cognitive behavioral functioning, and subjective well-being.Results and Conclusions: The dropout rates of the S-CBT group and waiting-list control groups were 36.4% and 44.1%, respectively. Effect sizes (Cohen’s d) and 95% confidence intervals (CIs) were calculated for each group. Domains that changed immediately after the S-CBT intervention were problem-solving skills, self-reinforcement, and negative automatic thoughts. Future research should promote mental and physical health through the design of intervention programs using familiar materials.Trial registration: University Hospital Medical Information Network (UMIN CTR) UMIN000036003.

scholarly journals A pilot randomized controlled trial of the shogi-assisted cognitive behavioral therapy (S-CBT) preventive stress management program

2022 ◽  
Vol 16 (1) ◽  
Author(s):  
Hirokazu Furukawa ◽  
Shota Noda ◽  
Chiho Kitashima ◽  
Manami Omine ◽  
Takumi Fukumoto ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Stress Management ◽  
Behavioral Therapy ◽  
Management Program ◽  
Waiting List ◽  
Automatic Thoughts ◽  
Cognitive Behavioral ◽  
Control Group ◽  
Problem Solving Skills ◽  
Stress Management Program

Abstract Background Shogi is a traditional board game in Japan. A preventive stress management program based on Shogi-assisted cognitive behavioral therapy (S-CBT) was applied in the Japanese municipality of Kakogawa City. The study aimed to develop an S-CBT preventive stress management program for the elderly and determine its efficacy. Methods The participants were 67 elderly men with amateur-level Shogi skills. They were randomly assigned to either the S-CBT group (n = 33) or the waiting-list control group (n = 34). The S-CBT program was conducted over six 90-min sessions. The outcome measures were recorded using K6 instrument, the Japanese version of the abbreviated Lubben Social Network Scale, five items on cognitive behavioral functioning, and subjective well-being scale. Results and conclusions The dropout rates of the S-CBT group and waiting-list control groups were 36.4 and 44.1%, respectively. Effect sizes (Cohen’s d) and 95% confidence intervals (CIs) were calculated for each group. Domains that changed immediately after the S-CBT intervention were problem-solving skills, self-reinforcement, and negative automatic thoughts. Future research should promote mental and physical health through the design of intervention programs using familiar materials. Trial registration University Hospital Medical Information Network (UMIN CTR) UMIN000036003.

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