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Case Report ARTICLE

Front. Nutr., 27 June 2018 | https://doi.org/10.3389/fnut.2018.00056

The Effectiveness of Cognitive Behavioral Therapy With Mindfulness and an Internet Intervention for Obesity: A Case Series

Keizaburo Ogata1,2, Ken I. Koyama2,3, Marie Amitani2,4, Haruka Amitani2, Akihiro Asakawa2 and Akio Inui2*
  • 1Department of Clinical Psychology, Kitasato University East Hospital, Sagamihara, Japan
  • 2Department of Psychosomatic Internal Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
  • 3Faculty of Integrated Human Studies and Social Sciences, Fukuoka Prefectural University Graduate School of Human and Social Sciences, Fukuoka, Japan
  • 4Education Center for Doctors in Remote Islands and Rural Areas, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan

It is difficult for obese (body mass index of more than 30) and overweight (body mass index of 25–30) people to reduce and maintain their weight. The aim of this case series was to examine the effectiveness of a new cognitive behavioral therapy (CBT) program that combines mindfulness exercises (e.g., the raisin exercise and breathing exercises) and an online intervention to prevent dropout and subsequent weight gain in overweight participants. This case series included three participants, for whom previous weight reduction programs had been unsuccessful. All participants completed the program (60-min, group sessions provided weekly for 9 weeks) and an 18-month follow-up assessment. Results showed that all participants succeeded in losing weight (loss ranged from 5.30 to 8.88% of their total body weight). Although rebound weight gain is commonly observed in the first year following initial weight loss, the follow-up assessment showed that participants achieved further weight loss during the 18-month follow-up period. These results suggest that a CBT program that comprises mindfulness and an online intervention may be an effective method for weight loss and maintenance, and may prevent dropout in obese and overweight individuals.

Trial Registration: This case series was registered at www.umin.ac.jp with identifier UMIN000029664.

Introduction and Background

The basic strategies involved in the treatment of obesity (body mass index [BMI] over 30) and overweight (BMI between 25 and 30) include lifestyle improvements, exercise therapy, and cognitive behavioral therapy (CBT). The structure of standard CBT for obesity and overweight includes self-monitoring, goal-setting, stimulus control, behavioral substitution, and cognitive restructuring (1). Numerous studies have reported that the use of CBT is successful in reducing patients' weight during treatment. However, many patients subsequently regain weight and fail to maintain weight reduction following the completion of treatment (2). In addition, the results of a randomized controlled trial by Cooper et al. (3) found that a new treatment program aimed at weight maintenance was no more effective, relative to basic treatment, in preventing patients from regaining weight (3). These findings indicate that treatment for obesity should be extended to maintain patients' weight loss.

Moreover, patients frequently drop out of obesity treatment programs, which further complicates the success of treatment (4, 5). Although increasing the frequency of the interventions could prevent dropout and maintain patients' motivation, it could also lead to several problems involving health resources by increasing patients' physical, temporal, and psychological burden, which could result in further dropout. Therefore, interventions that are implemented frequently and that reduce these types of burden are required. In this regard, the provision of CBT via the Internet (iCBT) has recently been shown to be as effective as face-to-face treatment for conditions such as depression, anxiety, and insomnia (68). Moreover, therapist-guided iCBT may be less time consuming, relative to face-to-face treatment, for both individual and group therapy (9). In addition, mindfulness, which is one of the main concepts in third-wave CBT, is well known for its effectiveness in the treatment of anxiety, depression, and impulsive eating (1012). Given the promise of both iCBT and mindfulness interventions, we developed a new program involving mindfulness exercises and an online intervention for obesity to prevent participant dropout and improve psychological health. The purpose of this case series was to determine the effectiveness of Cognitive Behavioral Therapy with Mindfulness Exercise and an Internet intervention for Obesity (CBT-MIO).

Method

Participants

Participants were recruited via an advertisement placed on the notice board at Kagoshima University in December 2014. The inclusion criteria were as follows: (a) between 18 and 60 years of age, (b) BMI (weight in kg/height in m2) between 25.0 and 40.0, (c) previous lack of success in weight reduction programs, (d) availability to participate in treatment for 9 weeks, (e) access to the Internet on a daily basis, and (f) willingness to participate in the study. The exclusion criteria were as follows: (a) consultation with a doctor for type 1 or 2 diabetes, cardiovascular disease, or mental health disorders, (b) pregnancy, and (c) weight loss within the preceding 6 months because of weight loss success. Table 1 shows the characteristics of participants. Three participants (two female) were included in the study. The age of participants was in 20–30 years, and they were defined as overweight. One of Trait anxiety was high (Participant B), however State anxiety of all participants was in the normal range (13, 14). All participants attended a follow-up assessment 18 months after the final weight loss session.

TABLE 1
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Table 1. Participant characteristics.

CBT-MIO

CBT-MIO was developed based on a well-known CBT program for weight loss and maintenance (2, 3). CBT-MIO aims to aid participants in losing between 5% to 10% of their total body weight and consists of four elements: (a) a psychoeducational intervention designed to promote a healthy diet and physical exercise, and to reduce self-sabotaging thoughts; (b) self-monitoring of daily food-intake using a notebook and the use of a social networking sites (SNSs) to upload photographs of self-reported food consumption during the final 4 weeks of the program; (c) mindfulness exercises [e.g., raisin exercise and mindful breathing; (15)] to increase distress tolerance, improve healthy coping strategies, and reduce maladaptive coping strategies (e.g., avoidant and impulsive coping styles that involve emotional eating); and (d) relearning adaptive eating habits.

The diet program consisted of weekly 60-min group sessions implemented for 9 weeks. The program was divided into two sections. Specifically, during the first 4 weeks of the program, participants received only face-to-face therapy, and in the subsequent 5 weeks of the program, participants were required to upload their daily food intake and activities to an SNS page (e.g., Facebook) and discuss them with other participants in a supportive manner (Figure 1). Participants and therapists made positive comments regarding participants' adaptive eating behaviors and suggested additional ideas concerning adaptive thoughts and the implementation of action plans in critical situations involving food-related temptation, such as dinner parties. A follow-up assessment was performed 18 months later.

FIGURE 1
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Figure 1. Overview of the diet program in this study. Session 1–4 was only face to face session. From session 5, participants were required to upload daily food photographs to SNS page. Session, the distance from session 9–10 was months.

Outcomes

The primary outcome was BMI, which was calculated using participants' weight and height, and secondary outcomes were scores on the Dutch Eating Behavior Questionnaire [DEBQ; (16, 17)]. State-Trait Anxiety Inventory [STAI; (13, 14)], and Five Facet Mindfulness Questionnaire [FFMQ; (18, 19)].

The DEBQ is a 33-item self-report questionnaire that assesses comprehensive eating behavior associated with obesity. It contains subscales for three different types of eating behaviors: restrained, emotional, and external eating. Total scores on each subscale are derived from average item responses, with higher scores reflecting greater emotional and external eating, and lower scores reflecting more restrained eating.

The STAI is a 40-item self-report instrument that is widely used for the assessment of state and trait anxiety. State anxiety is transitory in nature and is characterized by subjective feelings of tension, apprehension, and nervousness. Trait anxiety refers to relatively stable individual differences in anxiety proneness, with higher scores indicating more serious symptoms of anxiety.

The FFMQ is 39-item self-report questionnaire that measures five aspects of mindfulness: observing, describing, acting with awareness, nonjudging, and nonreactivity to inner experience. Observing means noticing or attending to internal and external experiences, such as sensations, thoughts, or emotions. Describing refers to labeling internal experiences with words. Acting with awareness includes focusing on one's activities in the moment as opposed to behaving mechanically. Nonjudging refers to taking a non-evaluative stance toward thoughts and feelings. Nonreactivity to inner experience refers to allowing thoughts and feelings to come and go, without being caught up in or carried away by them. Each item is rated on a 5-point Likert scale (1 = Never or rarely true; 5 = Very often or always true), with higher scores reflecting greater mindfulness.

BMI was assessed at every session, and the DEBQ, STAI, and FFMQ were administered at baseline (Session 1), Session 9, and the follow-up assessment 18 months after Session 9.

Ethics

The study was approved by the University of Kagoshima Human Research Ethics Committee (registered No. 26-13). Written informed consent was obtained from all participants before participation.

Result

Figure 2 shows the participants flow through this case series. All participants succeeded in losing more than 5% of their total body weight. The proportions of total body weight lost by individual participants were 6.91% (Participant A), 5.30% (Participant B), and 8.88% (Participant C). As shown in Table 2, all participants also exhibited additional weight loss at the follow-up assessment (Participant A: 13.98%, Participant B: 7.91%, Participant C: 10.98%). Moreover, relative to baseline, participants' scores on the DEBQ restrained subscale and the FFMQ increased, whereas their scores on the DEBQ emotional and external subscales and the STAI decreased (Table 2).

FIGURE 2
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Figure 2. Flow of participants through the pilot study.

TABLE 2
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Table 2. Changes to weight and psychological health before, during, and after treatment.

Discussion

The purpose of this case series was to examine the effectiveness of CBT-MIO in previously unsuccessful overweight participants, which was designed to promote weight loss and prevent dropout and subsequent weight gain. With respect to dropout, all of the participants completed the program, including the follow-up assessment, suggesting that CBT-MIO was effective in preventing dropout.

With regard to weight reduction, all participants succeeded in losing more than 5% of their total body weight. Considering that the weight loss goals for obese and overweight individuals in previous studies using CBT are between 5 and 10% (2, 3, 20, 21), the rate of weight reduction in the current study was satisfactory. In addition, while rebound weight gain is commonly observed in the first year following initial weight loss, all of the participants in the current study achieved further weight loss during the 18-month follow-up period (22).

Furthermore, all of the participants demonstrated positive changes in psychological health, and these effects persisted at the 18-month follow-up assessment. These positive changes in psychological health may have resulted from the mindfulness exercise, as previous research has also found that mindfulness interventions reduce STAI scores and increase FFMQ scores (23, 24). In view of these findings, the mindfulness exercises designed to promote appropriate eating behavior in CBT-MIO were effective in improving participants' psychological health, as reflected by changes in their DEBQ, STAI, and FFMQ scores. These results indicate that simply noticing bodily sensations, thoughts, memories, emotions, and fantasies via mindfulness exercises may be a particularly salient feature in changing conditioned patterns of eating (25). Indeed, during CBT-MIO sessions in the current study, participants reported that they recognized their impulse to eat and their automatic eating behaviors (e.g., binge eating, picking, and stress-related eating) by achieving a “here and now” awareness of their behavior, thoughts, bodily sensations, and feelings. In doing so, they were able to consider alternative cognitive behavioral plans for eating. Therefore, mindfulness may serve as a reminder that prompts individuals to use established cognitive behavioral strategies in managing their eating behaviors, instead of reverting to more maladaptive coping strategies.

Despite the above findings, the current study is subject to several limitations. First, the study sample was very small. In addition, the study was a single-arm, open study that did not include a control group. Moreover, participants used their smartphones to upload photographs of self-reported food consumption onto SNSs. Given that all participants in the current study were familiar with smartphones, this program would not be suitable for individuals who do not use or are not familiar with smartphones (e.g., older adults or individuals with financial problems). Future studies that include larger samples and control groups, such as randomized controlled trials, could address these limitations.

Concluding Remarks

In conclusion, CBT-MIO may be an effective method to facilitate weight reduction in obese and overweight individuals, prevent patient dropout, and promote the weight maintenance.

Author Contributions

KO and KK conducted the CBT-MIO sessions and wrote the paper. MA, HA, and AA made medical contributions to the design of CBT-MIO. AI made substantial, direct, and intellectual contributions to the work and approved it for publication.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Fabricatore AN. Behavior therapy and cognitive-behavioral therapy of obesity: is there a difference? J Am Diet Assoc. (2007) 107:92–9. doi: 10.1016/j.jada.2006.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Cooper Z, Fairburn CG. A new cognitive behavioural approach to the treatment of obesity. Behav Res Ther. (2001) 39:499–511. doi: 10.1016/S0005-7967(00)00065-6

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Cooper Z, Doll HA, Hawker DM, Byrne S, Bonner G, Eeley E, et al. Testing a new cognitive behavioural treatment for obesity: a randomized controlled trial with three-year follow-up. Behav Res Ther. (2010) 48:706–13. doi: 10.1016/j.brat.2010.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Lantz H, Peltonen M, Ågren L, Torgerson JS. A dietary and behavioural programme for the treatment of obesity: a 4-year clinical trial and a long-term posttreatment follow-up. J Intern Med. (2003) 254:272–9. doi: 10.1046/j.1365-2796.2003.01187.x

PubMed Abstract | CrossRef Full Text | Google Scholar

5. HadŽiabdić MO, Mucalo I, Hrabač P, Matić T, Rahelić D, BoŽikov V. Factors predictive of drop-out and weight loss success in weight management of obese patients. J Hum Nutr Diet. (2015) 28:24–32. doi: 10.1111/jhn.12270

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Cuijpers P, Donker T, van Straten A, Li J, Andersson G. Is guided self-help as effective as face-to-face psychotherapy for depression and anxiety disorders? A systematic review and meta-analysis of comparative outcome studies. Psychol Med. (2010) 40:1943–57. doi: 10.1017/S0033291710000772

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Dear BF, Zou JB, Ali S, Lorian CN, Johnston L, Sheehan J, et al. Clinical and cost-effectiveness of therapist-guided Internet-delivered cognitive behavior therapy for older adults with symptoms of anxiety: a randomized controlled trial. Behav Ther. (2015) 46:206–17. doi: 10.1016/j.beth.2014.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Blom K, Tarkian Tillgren H, Wiklund T, Danlycke E, Forssén M, Söderström A, et al. Internet- vs. group-delivered cognitive behavior therapy for insomnia: a randomized controlled non-inferiority trial. Behav Res Ther. (2015) 70:47–55. doi: 10.1016/j.brat.2015.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Andersson G. Using the Internet to provide cognitive behaviour therapy. Behav Res Ther. (2009) 47:175–80. doi: 10.1016/j.brat.2009.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Kabat-Zinn J. An outpatient program in behavioral medicine for chronic pain patients based on the practice of mindfulness meditation: theoretical considerations and preliminary results. Gen Hosp Psychiatry (1982) 4:33–47. doi: 10.1016/0163-8343(82)90026-3

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hofmann SG, Sawyer AT, Witt A, Oh D. The effect of mindfulness-based therapy on anxiety and depression: a meta-analytic review. J Consult Clin Psychol. (2010) 78:169–83. doi: 10.1037/a0018555

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Jenkins KT, Tapper K. Resisting chocolate temptation using a brief mindfulness strategy. Br J Health Psychol. (2014) 19:509–22. doi: 10.1111/bjhp.12050

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Spielberger CD, Gorsuch RL, Lushene RE. Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press (1970).

Google Scholar

14. Nakazato K, Mizuguchi T. How to Use STAI. Kyoto: Sankyoubou Corp (1982).

Google Scholar

15. Kabat-Zinn J. Full Catastrophe Living: How to Cope with Stress, Pain and Illness Uing Mindfulness Meditation. New York, NY: Bantam (2013).

Google Scholar

16. Van Strien T, Breteler MHM, Ouwens MA. Restraint scale, its sub-scales concern for dieting and weight fluctuation. Pers Individ Dif. (2002) 33:791–802. doi: 10.1016/S0191-8869(01)00192-1

CrossRef Full Text | Google Scholar

17. Naoko T, Amemiya T, Nishikara K, Yoshizu J, Ariyoshi H, Suzaki Y, et al. Research on eating behaviors of adult workers and adolescent students using the Dutch Eating Behavior Questionnaire. Nihon Kenkou Igakukai Zasshi (J Japan Health Med Assoc) (2012) 21:87–94.

18. Baer RA, Smith GT, Hopkins J, Krietemeyer J, Toney L. Using self-report assessment methods to explore facets of mindfulness. Assessment (2006) 13:27–45. doi: 10.1177/1073191105283504

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Sugiura Y, Sato A, Ito Y, Murakami H. Development and validation of the Japanese Version of the Five Facet Mindfulness Questionnaire. Mindfulness (2012) 3:85–94. doi: 10.1007/s12671-011-0082-1

CrossRef Full Text | Google Scholar

20. Wadden TA, West DS, Delahanty L, Jakicic J, Rejeski J, Williamson D, et al. The Look AHEAD study: a description of the lifestyle intervention and the evidence supporting it. Obesity (Silver Spring) (2006) 14:737–52. doi: 10.1038/oby.2006.84

PubMed Abstract | CrossRef Full Text

21. National Heart, Lung and Blood Institute. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults—The Evidence Report. National Institutes of Health, Obesity Research, 51S-209S.

22. Sumithran P, Prendergast LA, Delbridge E, Purcell K, Shulkes A, Kriketos A, et al. Long-term persistence of hormonal adaptations to weight loss. N Engl J Med. (2011) 365:1597–604. doi: 10.1056/NEJMoa1105816

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Haines J, Spadaro KC, Choi J, Hoffman LA, Blazeck AM. Reducing stress and anxiety in caregivers of lung transplant patients: benefits of mindfulness meditation. Int J Organ Transplant Med. (2014) 5:50–6.

PubMed Abstract | Google Scholar

24. Bränström R, Kvillemo P, Brandberg Y, Moskowitz JT. Self-report mindfulness as a mediator of psychological well-being in a stress reduction intervention for cancer patients: a randomized study. Ann Behav Med. (2010) 39:151–61. doi: 10.1007/s12160-010-9168-6

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Dalen J, Smith BW, Shelley BM, Sloan AL, Leahigh L, Begay D. Pilot study: Mindful Eating and Living (MEAL): weight, eating behavior, and psychological outcomes associated with a mindfulness-based intervention for people with obesity. Complement Ther Med. (2010) 18:260–4. doi: 10.1016/j.ctim.2010.09.0008

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: obesity, overweight, cognitive behavioral therapy, mindfulness, dropout prevention, weight maintenance

Citation: Ogata K, Koyama KI, Amitani M, Amitani H, Asakawa A and Inui A (2018) The Effectiveness of Cognitive Behavioral Therapy With Mindfulness and an Internet Intervention for Obesity: A Case Series. Front. Nutr. 5:56. doi: 10.3389/fnut.2018.00056

Received: 17 November 2017; Accepted: 11 June 2018;
Published: 27 June 2018.

Edited by:

Lidia Santarpia, Università degli Studi di Napoli Federico II, Italy

Reviewed by:

Mustapha Diaf, University of Sidi-Bel-Abbès, Algeria
Nada Benajiba, Princess Nourah bint Abdulrahman University, Saudi Arabia

Copyright © 2018 Ogata, Koyama, Amitani, Amitani, Asakawa and Inui. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Akio Inui, inui@m.kufm.kagoshima-u.ac.jp