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OPINION article

Front. Psychol., 02 November 2018
Sec. Psychology for Clinical Settings
This article is part of the Research Topic Improving Wellbeing in Patients with Chronic Conditions: Theory, Evidence, and Opportunities View all 34 articles

Improving Self-Esteem With Motivational Quotes: Opportunities for Digital Health Technologies for People With Chronic Disorders

  • 1Department of Psychology, Duke University, Durham, NC, United States
  • 2Department of Medicinal Chemistry, College of Pharmacy, University of Utah, Salt Lake City, UT, United States

Introduction

Living with a chronic medical condition is often accompanied by low self-esteem, a diminished sense of personal worth, and lower self-efficacy, a diminished sense of one's ability to influence behavioral outcomes. This can significantly affect health-related quality of life and wellbeing, with low self-esteem and self-efficacy contributing to poor coping, helplessness, a decrease in positive health behaviors, and increased risk of comorbidities. Thus, it becomes important to promote self-esteem and empowerment over one's condition.

Digital health technologies (also known as mobile health, mHealth, digital medicine, or digital therapeutics) have received increased recognition among chronically-ill patients and healthcare professionals as non-pharmacological treatment strategies for providing disease-specific, self-management content while also improving patient engagement. Since motivational quotes are increasingly used in various media and therapeutic programs to promote positive thinking and self-esteem, this article explores their medical applications and integration into digital health, with particular emphasis on tailoring different categories of motivational quotes to address specific causes of low self-esteem in chronically-ill adult populations.

Self-Esteem and Self-Efficacy in Chronic Conditions

Being afflicted with a chronic mental or physical condition, such as depression, diabetes, or other long-term illness, presents a myriad of difficulties that significantly impact quality of life. In addition to physical symptoms that interfere with daily activities, one faces a range of psychosocial difficulties. Common sources of distress include unmet emotional support needs, feelings of loss or alienation, and tolls on finances, work, and leisure (Vellenga and Christenson, 1994; Morasso et al., 1999; Vallis et al., 2016). Mental illness is frequently accompanied by depressed mood and anxiety, and chronic physical diseases such as asthma, arthritis, and diabetes have similarly been associated with comorbid depression (Moussavi et al., 2007; Connell et al., 2012). Another struggle for chronically-ill individuals is low self-esteem, which is both a consequence of the condition and obstacle for effective self-management and coping. Low self-esteem has been correlated with self-stigma that often accompanies mental illness, in which one internalizes negative perceptions of the condition and perceives the illness as a poor reflection of the self (Corrigan et al., 2006). It may also arise from the decreased independence and autonomy frequently associated with chronic illness, and from maladaptive coping strategies involving avoidance or blame (Felton et al., 1984; Connell et al., 2012). Low self-esteem in turn becomes a risk factor for depression, anxiety, eating disorders, aggression, and substance abuse, further compounding the negative effects of a chronic condition and introducing significant comorbidities (Mann et al., 2004; Sowislo and Orth, 2013). Thus, it becomes important to assist chronically-ill individuals with overcoming low self-esteem in order to prevent negative consequences on disease self-management and quality of life.

High self-esteem becomes even more critical given its potential impact on self-efficacy, which has been associated with reduced disease impact and more effective self-management through medication adherence, stress management, exercise, and nutrition (Clark et al., 1988; Clark and Dodge, 1999). Perceived self-efficacy has also been shown to reduce depressive symptoms and predict positive health behavior change (Strecher et al., 1986; Karademas, 2006). Several self-management programs emphasize self-efficacy for coping with illness, improving health status, and collaborating with health professionals to maximize treatment outcomes (Lorig et al., 2001; Bodenheimer et al., 2002). Self-efficacy can influence effective disease self-management by helping one persevere through difficulties, recover from setbacks, and maintain good habits (Bandura, 2004). Consequently, self-efficacy becomes essential for dealing with chronic disorders, for it is not uncommon for feelings of despair, hopelessness, or frustration to cause individuals to neglect positive health behaviors.

While self-esteem and self-efficacy are distinct constructs, high levels of both enable better coping with and recovery from physical diseases (Mann et al., 2004). Furthermore, self-esteem has been identified as an intrapersonal influence on self-efficacy, suggesting that increasing self-esteem could subsequently increase self-efficacy (Flay and Petraitis, 1994; Flay et al., 2009). According to the Theory of Triadic Influence, high self-esteem increases the value of willpower and self-determination in changing health-related behaviors, which in turn builds self-efficacy (Flay and Petraitis, 1994). Thus, improving low self-esteem could have downstream effects of increasing one's willpower to effectively manage the disease. Additionally, high self-esteem may prevent a chronically-ill individual from discounting positive feedback about his or her self-efficacy (Strecher et al., 1986). This would protect against falling into a negative, doubtful state regarding one's ability to cope with or overcome the illness. Given its relationship to self-esteem, one way to address the physical and psychosocial difficulties faced by chronically-ill individuals would be to improve self-efficacy by targeting low self-esteem.

Addressing Low Self-Esteem With Motivational Quotes

Motivational quotes have been integrated into various programs and interventions in clinical and educational settings, effectively increasing confidence, motivation, empowerment, and satisfaction in adults struggling with stress, anxiety, depression, mental illness, and substance abuse (Czuchry and Dansereau, 2005; Kendall et al., 2005; Brann and Sloop, 2006; Marchinko and Clarke, 2011; Littlechild et al., 2013; Poon, 2016). However, inspirational quotes or similar attempts to increase self-esteem are not always effective. Self-selected inspirational quotes had no effect on children's perceived autonomy, competence, or intrinsic motivation in the classroom (Collins, 2015), and inflated praise of children with low self-esteem led to decreased challenge seeking rather than increased self-esteem (Brummelman et al., 2014). Self-help literature in general has been criticized as overly simplistic and idealistic, with excessive optimism, self-affirmation, and imperative statements not always having the intended positive effects and sometimes leading to lower self-esteem or unrealistic world views (Gokhale, 2012). This suggests that some motivational quotes are more effective than others, with different types of quotes being better suited to address low self-esteem depending on its causes. Table 1 presents several categories of motivational quotes, each of which can be tailored to address a specific source of low self-esteem. By carefully selecting motivational quote categories for particular individuals, digital health therapies and interventions may more effectively improve low self-esteem in chronically-ill individuals. This article specifically focuses on motivational quotes for adult populations, but the same approach can apply to children by using more child-friendly inspirational quotes.

TABLE 1
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Table 1. Categories of motivational quotes for addressing low self-esteem.

Low self-esteem is multi-faceted and may arise from various factors related to chronic illness. According to sociometer theory, self-esteem reflects the extent that one feels accepted by others and is a social construct that highly values perceptions of close friends and family (Leary and Baumeister, 2000). Living with a chronic disease often makes one feel isolated or excluded, whether it be from perceived disease-related stigma or missing out on social activities due to decreased mobility or high treatment demands. In this case, the best way to address low self-esteem is to situate the individual within a social context, allowing one to relate to others or receive direct feedback indicating understanding and social acceptance. Both “Experience of Others/‘I”' and “Empowerment/‘You”' motivational quotes would fulfill this purpose, with the former allowing one to relate to others' firsthand experiences, and the latter providing positive feedback and clear indication of social support.

However, individuals with low self-esteem have also preferred accurate self-appraisals over self-enhancing feedback, with depressed individuals holding more accurate self-views to determine whether behavioral changes are necessary (Kirkpatrick and Ellis, 2001). In this case, attempting to convince one of the faultiness of negative self-appraisals would be less efficient. Unrealistically positive appraisals could be met with skepticism, disgust, or rejection for being overly optimistic. A more effective strategy than “Empowerment/‘You”' quotes would be “Reality Check” or “General Statement” quotes that acknowledge the negative aspects of life one is experiencing, or discuss general concepts in a passive, observational manner, without presenting what could otherwise be perceived as false praise.

Low self-esteem may also arise from poor self-evaluation due to socially comparing oneself to others (Mann et al., 2004). With chronic illness, others can easily seem superior because they are not debilitated by the physical or psychological symptoms that the afflicted individual struggles with daily. This source of low self-esteem may be addressed in two ways. The first approach is to eliminate the perception of others as somehow superior. “Reality Check” quotes highlighting others' imperfections or difficulties would effectively disrupt the high esteem one holds others in, illustrating that they are not inherently better or flawless. The second approach is to make self-evaluations less deprecating and more affirming. “Empowerment/‘You”' and “Self-Directed Question” motivational quotes would encourage positive self-evaluations by emphasizing the individual's laudable qualities and promoting self-reflection that would subsequently allow one to recognize personal strengths and value.

Another cause of low self-esteem may be confusion about one's identity, leading to maladaptive coping responses of escapism or avoidance of current issues (Mann et al., 2004). In having a chronic medical condition, one may feel lost and not know one's place in the world, unable to separate the self from the disease, treatments, or hospital settings that seem to consume everyday life. At this point, the individual is likely to accept direction from others in searching for a solution to increase confidence and self-assurance. “Cause-and-Effect” and “Imperative/Command” motivational quotes would effectively provide this guidance, allowing one to take the necessary steps toward clarity and self-discovery.

In addressing low self-esteem, two important considerations are autonomy and perceived control, for chronically-ill individuals may be highly susceptible to perceiving a lack of control over symptoms or life in general. This may arise from the unpredictable nature of symptoms or important decisions being controlled by medical professionals rather than the individual. Adolescents with serious or chronic diseases were found to have a significantly reduced sense of control over their health-related futures (Kellerman et al., 1980), and control, autonomy, and choice regarding quality of life, symptoms, and major decisions were particularly important for individuals with mental health problems (Connell et al., 2012). Experiencing personal control over life was positively correlated with quality of life in late-stage cancer patients (Lewis, 1982). Thus, for individuals particularly concerned with maintaining control over their lives, and whose low self-esteem stems from a perceived lack of control or autonomy, “Choice” and “General Statement” motivational quotes would be most effective. These categories merely present general observations or options for action, allowing one to decide whether to act or not without imposing outside control or infringing upon one's sense of agency.

As the above discussion illustrates, the multi-faceted nature of self-esteem requires motivational quotes to be specifically tailored to the cause of low self-esteem to be effective, rather than applied indiscriminately across all situations.

Digital Health and Mobile Medical Applications

Although still in its infancy, digital medicine is being embraced by patients, doctors, nurses, healthcare and pharmaceutical industries, and regulatory agencies such as the US Food and Drug Administration (FDA). Several FDA-approved mobile medical apps (for diabetes and addiction) and video games (for stroke and traumatic brain injury) illustrate how non-pharmacological interventions delivered by digital technologies can provide clinical benefits for chronically-ill patients. Positive findings in recent clinical studies of mobile health interventions for depression (Mantani et al., 2017; Ben-Zeev et al., 2018; Berger et al., 2018; Silva Almodovar et al., 2018) emphasize new opportunities to improve treatments of mental disorders.

Digital therapies can deliver behavioral interventions by mobile apps, internet (web-based apps), and video games. An apparent benefit of mobile health is its “personalized medicine” aspect that adjusts digital content to an individual's current needs through just-in-time adaptive interventions (Nahum-Shani et al., 2018). The use of wearables can further optimize digital interventions through neurobiofeedback mechanisms (Ramirez et al., 2015), with new biofeedback technologies, such as the FDA-cleared smartwatch Embrace (Empatica), being developed. The flexibility of digital content in mobile health technologies is further emphasized by adding music as an “active component” of therapy (Schriewer and Bulaj, 2016; Afra et al., 2018) or integrating exercise and educational empowerment into a video game designed for children with cancer (Bruggers et al., 2018). Integrating judiciously tailored motivational quotes into digital content as an “active ingredient” in mobile and web-based apps may offer additional means to improve patient engagement, self-esteem, and ultimately self-efficacy. Daily delivery of such motivational quotes will likely appeal to chronically-ill individuals across various disorders, for many of them live with depression or anxiety as comorbidities.

In conclusion, digital health technologies are promising for delivering self-esteem interventions to improve engagement and treatment outcomes and ultimately improve quality of life for people living with chronic disorders.

Author Contributions

AB and GB conceived the study and wrote and edited the manuscript. AB reviewed the literature, compiled, and analyzed the quotes.

Conflict of Interest Statement

GB is a co-founder, officer, and board member in Epicadence, Public Benefit Corporation, focused on development of mobile software for epilepsy patients. GB is a co-inventor on patent-pending Multimodal Platform for Treating Epilepsy licensed to Epicadence PBC. GB is a co-inventor on two issued US patents 9,569,562 and 9,747,423 Disease Therapy Game Technology. These patents are related to the exercise-empowerment video game technology and are owned by the University of Utah.

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

Acknowledgments

We would like to thank Dr. Carol S. Bruggers for helpful discussions on patient empowerment.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2018.02126/full#supplementary-material

References

Afra, P., Bruggers, C. S., Sweney, M., Fagatele, L., Alavi, F., Greenwald, M., et al. (2018). Mobile software as a medical device (SaMD) for the treatment of epilepsy: development of digital therapeutics comprising behavioral and music-based interventions for neurological disorders. Front. Hum. Neurosci. 12:171. doi: 10.3389/fnhum.2018.00171

PubMed Abstract | CrossRef Full Text | Google Scholar

Bandura, A. (2004). Health promotion by social cognitive means. Health Educ. Behav. 31, 143–164. doi: 10.1177/1090198104263660

PubMed Abstract | CrossRef Full Text | Google Scholar

Ben-Zeev, D., Brian, R. M., Jonathan, G., Razzano, L., Pashka, N., Carpenter-Song, E., et al. (2018). Mobile health (mHealth) versus clinic-based group intervention for people with serious mental illness: a randomized controlled trial. Psychiatr. Serv. 69, 978–985. doi: 10.1176/appi.ps.201800063

PubMed Abstract | CrossRef Full Text | Google Scholar

Berger, T., Krieger, T., Sude, K., Meyer, B., and Maercker, A. (2018). Evaluating an e-mental health program (“deprexis”) as adjunctive treatment tool in psychotherapy for depression: Results of a pragmatic randomized controlled trial. J. Affect. Disord. 227, 455–462. doi: 10.1016/j.jad.2017.11.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Bodenheimer, T., Lorig, K., Holman, H., and Grumbach, K. (2002). Patient self-management of chronic disease in primary care. JAMA 288, 2469–2475. doi: 10.1001/jama.288.19.2469

PubMed Abstract | CrossRef Full Text | Google Scholar

Brann, D. W., and Sloop, S. (2006). Curriculum development and technology incorporation in teaching neuroscience to graduate students in a medical school environment. Adv. Physiol. Educ. 30, 38–45. doi: 10.1152/advan.00068.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Bruggers, C. S., Baranowski, S., Beseris, M., Leonard, R., Long, D., Schulte, E., et al. (2018). A prototype exercise-empowerment mobile video game for children with cancer, and its usability assessment: developing digital empowerment interventions for pediatric diseases. Front. Pediatr. 6:69. doi: 10.3389.fped.2018.00069

PubMed Abstract | CrossRef Full Text | Google Scholar

Brummelman, E., Thomaes, S., Orobio de Castro, B., Overbeek, G., and Bushman, B. J. (2014). “That's not just beautiful – that's incredibly beautiful!”: the adverse impact of inflated praise on children with low self-esteem. Psychol. Sci. 25, 728–735. doi: 10.1177/0956797613514251

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, N. M., and Dodge, J. A. (1999). Exploring self-efficacy as a predictor of disease management. Health Educ. Behav. 26, 72–89. doi: 10.1177/109019819902600107

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, N. M., Rosenstock, I. M., Hassan, H., Evans, D., Wasilewski, Y., Feldman, C., et al. (1988). The effect of health beliefs and feelings of self efficacy on self management behavior of children with a chronic disease. Patient Educ. Couns. 11, 131–139. doi: 10.1016/0738-3991(88)90045-6

CrossRef Full Text | Google Scholar

Collins, G. (2015). Language to motivate learning: the power of inspirational quotes. A Rising Tide. 7, 1-22. Available online at: http://www.smcm.edu/mat/wp-content/uploads/sites/73/2015/06/Gabrielle-Collins-2015.pdf

Google Scholar

Connell, J., Brazier, J., O'Cathain, A., Lloyd-Jones, M., and Paisley, S. (2012). Quality of life of people with mental health problems: a synthesis of qualitative research. Health Qual. Life Outcomes. 10:138. doi: 10.1186/1477-7525-10-138

PubMed Abstract | CrossRef Full Text | Google Scholar

Corrigan, P. W., Watson, A. C., and Barr, L. (2006). The self-stigma of mental illness: implications for self-esteem and self-efficacy. J. Soc. Clin. Psychol. 25, 875–885. doi: 10.1521/jscp.2006.25.8.875

CrossRef Full Text | Google Scholar

Czuchry, M., and Dansereau, D. F. (2005). Using motivational activities to facilitate treatment involvement and reduce risk. J. Psychoactive Drugs 37, 7–13. doi: 10.1080/02791072.2005.10399744

PubMed Abstract | CrossRef Full Text | Google Scholar

Felton, B. J., Revenson, T. A., and Hinrichsen, G. A. (1984). Stress and coping in the explanation of psychological adjustment among chronically ill adults. Soc. Sci. Med. 18, 889–898. doi: 10.1016/0277-9536(84)90158-8.

PubMed Abstract | CrossRef Full Text | Google Scholar

Flay, B. R., and Petraitis, J. (1994). The theory of triadic influence: a new theory of health behavior with implications for preventive interventions. Adv. Med. Sociol. 4, 19–44.

Google Scholar

Flay, B. R., Snyder, F. J., and Petraitis, J. (2009). “The theory of triadic influence,” in Emerging Theories in Health Promotion Practice and Research, eds R. J. DiClemente, R. A. Crosby, and M. C. Kegler (San Francisco, CA: Jossey-Bass), 451–510.

Google Scholar

Gokhale, M. (2012). The implications of simplification in “inspirational literature”. International J. Soc. Sci. Hum. 2, 400–404. doi: 10.7763/IJSSH.2012.V2.134

CrossRef Full Text | Google Scholar

Karademas, E. C. (2006). Self-efficacy, social support and well-being: the mediating role of optimism. Pers. Individ. Dif. 40, 1281–1290. doi: 10.1016/j.paid.2005.10.019

CrossRef Full Text | Google Scholar

Kellerman, J., Zeltzer, L., Ellenberg, L., Dash, J., and Rigler, D. (1980). Psychological effects of illness in adolescence. I. Anxiety, self-esteem, and perception of control. J. Pediatr. 97, 126–131. doi: 10.1016/S0022-3476(80)80152-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kendall, J., Waddington, C., and Kendall, C. (2005). The daily moment: a stress reduction program for cancer center staff. J. Oncol. Manage. 14, 68–71.

PubMed Abstract | Google Scholar

Kirkpatrick, L. A., and Ellis, B. J. (2001). “An evolutionary-psychological approach to self-esteem: multiple domains and multiple functions,” in Blackwell Handbook of Social Psychology: Interpersonal Processes, eds G. J. O. Fletcher and M. S. Clark (Malden, MA: Blackwell Publishing), 411–436.

Google Scholar

Leary, M. R., and Baumeister, R. F. (2000). The nature and function of self-esteem: sociometer theory. Adv. Exp. Soc. Psychol. 32, 1–62. doi: 10.1016/S0065-2601(00)80003-9

CrossRef Full Text | Google Scholar

Lewis, F. M. (1982). Experienced personal control and quality of life in late-stage cancer patients. Nurs. Res. 31, 113–119. doi: 10.1097/00006199-198203000-00012

PubMed Abstract | CrossRef Full Text | Google Scholar

Littlechild, B., Smith, A. H., Meredith-Windle, G., Gale, T., Lloyd, M., and Hawley, C. (2013). Recovery approaches in mental health: a qualitative evaluation of the whole life therapy programme for persons with schizophrenia. Health 5, 582–587. doi: 10.4236/health.2013.53A077

CrossRef Full Text | Google Scholar

Lorig, K. R., Sobel, D. S., Ritter, P. L., Laurent, D., and Hobbs, M. (2001). Effect of a self-management program on patients with chronic disease. Effect. Clin. Pract. 4, 256–262. Available online at: http://ecp.acponline.org/novdec01/lorig.pdf

PubMed Abstract | Google Scholar

Mann, M., Hosman, C. M., Schaalma, H. P., and De Vries, N. K. (2004). Self-esteem in a broad-spectrum approach for mental health promotion. Health Educ. Res. 19, 357–372. doi: 10.1093/her/cyg041

PubMed Abstract | CrossRef Full Text | Google Scholar

Mantani, A., Kato, T., Furukawa, T. A., Horikoshi, M., Imai, H., Hiroe, T.i., et al. (2017). Smartphone cognitive behavioral therapy as an adjunct to pharmacotherapy for refractory depression: randomized controlled trial. J. Med. Internet Res. 19:e373. doi: 10.2196/jmir.8602

PubMed Abstract | CrossRef Full Text | Google Scholar

Marchinko, S., and Clarke, D. (2011). The wellness planner: empowerment, quality of life, and continuity of care in mental illness. Arch. Psychiatr. Nurs. 25, 284–293. doi: 10.1016/j.apnu.2010.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Morasso, G., Capelli, M., Viterbori, P., Di Leo, S., Alberisio, A., Costantini, M., et al. (1999). Psychological and symptom distress in terminal cancer patients with met and unmet needs. J. Pain Symptom Manage. 17, 402–409. doi: 10.1016/S0885-3924(99)00034-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Moussavi, S., Chatterji, S., Emese, V., Tandon, A., Patel, V., and Ustun, B. (2007). Depression, chronic diseases, and decrements in health: results from the world health surveys. Lancet 370, 8–14. doi: 10.1016/S0140-6737(07)61415-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., et al. (2018). Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann. Behav. Med. 52, 446–462. doi: 10.1007/s12160-016-9830-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Poon, S. K. (2016). Pacifica: stressed or worried? An app to help yourself (Mobile App User Guide). Br. J, Sports Med. 50, 191–192. doi: 10.1136/bjsports-2015-095747

CrossRef Full Text | Google Scholar

Ramirez, R., Palencia-Lefler, M., Giraldo, S., and Vamvakousis, Z. (2015). Musical neurofeedback for treating depression in elderly people. Front. Neurosci. 9:354. doi: 10.3389/fnins.2015.00354

PubMed Abstract | CrossRef Full Text | Google Scholar

Schriewer, K., and Bulaj, G. (2016). Music streaming services as adjunct therapies for depression, anxiety, and bipolar symptoms: convergence of digital technologies, mobile apps, emotions, and global mental health. Front. Public Health 4:217. doi: 10.3389.fpubh.2016.00217

PubMed Abstract | CrossRef Full Text | Google Scholar

Silva Almodovar, A., Surve, S., Axon, D. R., Cooper, D., and Nahata, M. C. (2018). Self-directed engagement with a mobile app (Sinasprite) and its effects on confidence in coping skills, depression, and anxiety: retrospective longitudinal study. JMIR mHealth uHealth 6:e64. doi: 10.2196/mhealth.9612

PubMed Abstract | CrossRef Full Text | Google Scholar

Sowislo, J. F., and Orth, U. (2013). Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychol. Bull. 139, 213–240. doi: 10.1037/a0028931

PubMed Abstract | CrossRef Full Text | Google Scholar

Strecher, V. J., DeVellis, B. M., Becker, M. H., and Rosenstock, I. M. (1986). The role of self-efficacy in achieving health behavior change. Health Educ. Behav. 13, 73–92. doi: 10.1177/109019818601300108

PubMed Abstract | CrossRef Full Text | Google Scholar

Vallis, M., Bruns, K. K., Hollahan, D., Ross, S., and Hahn, J. (2016). Diabetes attitudes, wishes, and needs second study (DAWN2): understanding diabetes-related psychosocial outcomes for Canadians with diabetes. Can. J. Diab. 40, 234–241. doi: 10.1016/j.jcjd.2015.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Vellenga, B. A., and Christenson, J. (1994). Persistent and severely mentally ill clients' perceptions of their mental illness. Issues Ment. Health Nurs. 15, 359–371. doi: 10.3109/01612849409006914

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: self-management, self-care, empowerment, digital therapeutics, mHealth, depression, anxiety

Citation: Bedrov A and Bulaj G (2018) Improving Self-Esteem With Motivational Quotes: Opportunities for Digital Health Technologies for People With Chronic Disorders. Front. Psychol. 9:2126. doi: 10.3389/fpsyg.2018.02126

Received: 14 June 2018; Accepted: 15 October 2018;
Published: 02 November 2018.

Edited by:

Andrew Kemp, Swansea University, United Kingdom

Reviewed by:

Daniela Villani, Università Cattolica del Sacro Cuore, Italy

Copyright © 2018 Bedrov and Bulaj. 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(s) 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: Alisa Bedrov, alisa.bedrov@duke.edu

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