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Can the REBT theory explain loneliness? Theoretical and clinical applications

Cognitive-behavioural models have been applied with great success to numerous forms of psychopathology including mood disorders (David, Kangas, Schnur, & Montgomery, 2004), anxiety- and stress-related disorders (Clark & Beck, 2011), and psychotic-based disorders (Birchwood et al., 2014). A robust, and commonly identified, correlate of all of these forms of psychopathology is loneliness (Hawkley & Cacioppo, 2010). Loneliness is described as an unpleasant emotional experience that can occur when an individual evaluates their life as lacking sufficient quantity or quality of social relationships (Heinrich & Gullone, 2006). As such, the phenomenology of loneliness includes both a cognitive and an emotional component. It struck us as curious therefore that virtually no theoretical – with one partial exception (Young, 1982) – or empirical work had been carried out to determine if traditional cognitive-behavioural models of psychopathology could be successfully deployed in order to understand variation in levels of loneliness.

Little evidence currently exists regarding effective ways in which to treat loneliness, however, most of the existing data points towards the value of cognitive restructuring (Masi et al., 2011). This is concerning given how common loneliness is in the population. Various population-based studies have suggested that approximately 20% of people experience ‘clinically-meaningful’ levels of loneliness at any point in time, and that late-adolescences/early adulthood and old age are developmental periods where loneliness is most common (Lasgaard, Friis, & Shevlin, 2016). Beyond common mental health problems, loneliness is also associated with neurodegenerative disorders such as Alzheimer’s disease, and early mortality (e.g., Holt-Lunstad, Smith, & Layton, 2010). Longitudinal based studies which track people over extended periods of time have shown that loneliness predicts future onset of (a) mental health problems (Cacioppo, Hawkley, & Thisted, 2010), (b) neurodegenerative disorders (Caspi, Harrington, Moffitt, Milne, & Poulton, 2006), and (c) suicidality (Rudatsikira, Muula, Siziya, & Twa-Twa, 2007). These mental and neurodegenerative conditions have been shown to cost the European Union €432 billion annually (Olesen et al., 2012). Loneliness is but one of a myriad of contributing factors to the development and maintenance of these disorders, however, the possibility of being able to intervene at a point that is known to play a role in the development of mental health and neurodegenerative disorders (i.e., loneliness), using an established and well-validated method of psychotherapy (i.e. cognitive-behaviour therapy [CBT]), is an exciting prospect. This was the starting point of our work recently published in Cognitive Behaviour Therapy.

We set to examine if the experience of loneliness could be understood within the theoretical framework of ‘Rational Emotive Behaviour Therapy’ (REBT; Ellis, David, & Lynn, 2010). REBT is somewhat unique in the field of CBT as REBT presents a model of psychopathology (centred on maladaptive thinking, or, ‘irrational beliefs’) and a model of psychological health (centred on adaptive thinking, or, ‘rational beliefs’). In essence, REBT theory proposes a set of cognitive vulnerability (i.e., irrational beliefs) and protective (i.e., rational beliefs) factors for loneliness. If the REBT model were supported in the context of loneliness, therapeutic interventions of multiple types would be possible. For example, individuals experiencing loneliness would benefit from identifying, disputing, and reformulating their irrational beliefs into a new set of rational beliefs. Moreover, prophylactic treatments for at-risk, but asymptomatic individuals, would focus on developing and integrating rational beliefs into an individual’s cognitive architecture.

In our study, we recruited a multinational sample of university students (N = 397) from across the British Isles. University students were deemed a desirable target population for this study given the tendency for feelings of loneliness to spike in this age group. The sample included a relatively even number of males and females, with an average age of 23 years. Our sample of participants completed commonly used, and psychometrically validated, self-report measure of loneliness (The Three-Item Loneliness Scale; Hughes, Waite, Hawley, & Cacioppo, 2004), and rational and irrational beliefs (Hyland, Shevlin, Adamson, & Boduszek, 2014).

We evaluated the validity of the REBT models of psychopathology and psychological health, respectively, to explain feelings of loneliness using structural equation modelling (SEM). SEM is a powerful statistical process with many advantageous features. SEM tests the congruence between a hypothesised model structure (e.g., the REBT model of psychopathology for loneliness) and the observed sample data (i.e., our observation of reality). In doing so, the hypothesised model can be directly falsified if it does not represent observed reality (the sample data) in a satisfactory manner. This statistical process is akin to the familiar scene in many police movies where a fingerprint lifted from the scene of the crime is compared to a fingerprint a detective has obtained from a suspect. If the suspect’s fingerprint matches the fingerprint at the crime scene, the detective’s hunch is supported. If, however, the suspect’s fingerprint does not match the fingerprint from the crime scene, the detective’s hunch is falsified and the person is no longer a suspect. The results of the SEM analysis did not falsify the REBT models of psychopathology, and psychological health model of loneliness. The former accounted for 36% of variation in levels of loneliness while the latter accounted for 23% of variation in levels of loneliness. The SEM results also highlighted a number of important irrational and rational beliefs that are correlated with loneliness.

In terms of irrational beliefs, ‘Self-Downing’ beliefs were most strongly associated with feelings of loneliness. Individuals who believed that they were deficient or unacceptable most likely to experience feelings of loneliness. Similarly, individuals who endorsed ‘Catastrophizing’ beliefs – grossly exaggerated beliefs about the negativity of life events – also had elevated levels of loneliness. Finally, ‘Demandingness’ beliefs – rigid beliefs that oneself, others, or the world ‘must be’, ‘have to be’ a certain way – were also associated with greater feelings of loneliness but the impact of these beliefs on loneliness were dependent upon a person having Self-Downing or Catastrophizing beliefs. These findings showed that people who hold rigid and extreme beliefs about themselves and their life circumstances are most likely to feel lonely. Our results suggest that clinicians working with patients reporting feelings of loneliness should be cognizant of these types of dysfunctional beliefs and would find clinical success in modulating these patterns of thinking.

In terms of rational beliefs, individuals who endorsed ‘Self-Acceptance’ beliefs were the least likely to feel lonely. Self-Acceptance belief reflect a tendency for people to accept themselves as being unconditionally worthwhile. Additionally, ‘Preferential’ beliefs – flexible desires that oneself, others, and the world a certain way – were associated with fewer feelings of loneliness. The positive impact of these Preferential beliefs were dependent upon an individual holding Self-Acceptance beliefs. These findings suggest that individuals who habitually think in flexible and non-rigid ways about themselves, others, and the world, and adopt an accepting view of themselves are very unlikely to experience feelings of loneliness. Clinicians should focus on developing and strengthening these functional and adaptive ways of thinking with their clients in order to both alleviate feelings of loneliness, and to prevent their occurrence.

Our empirical work has produced initial evidence that cognitive-behavioural models, traditionally applied in order to explain common mental health problems, can also provide an effective means by which to understand feelings of loneliness. This opens up the possibility that loneliness can be treated effectively using standard CBT techniques. As loneliness is an established risk-factor for mental health and neurological disorders, the ability to effectively conceptualize, explain, and potentially treat loneliness could lead to a reduction in the incidence, and associated costs, of these disorders.

Read the full paper: Hyland, P., McGinty, G., Karatzias, T., Murphy, J., Vallières, F., & McHugh Power, J. (2018). Can the REBT theory explain loneliness? Theoretical and clinical applications. Cognitive Behaviour Therapy, 1(13). doi:10.1080/16506073.2018.1475505

Philip Hyland
Gráinne McGinty
Thanos Karatzias

 

 

 

 

 

Jamie Murphy
Frédérique Vallières
Joanna McHugh Power

 

 

 

 

 

References

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Cacioppo, J. T., Hawkley, L., & Thisted, R. A. (2010). Perceived Social Isolation Makes Me Sad: 5-Year Cross-Lagged Analyses of Loneliness and Depressive Symptomatology in the Chicago Health, Aging, and Social Relations Study. Psychology and Aging, 25(2), 453-463. doi: 10.1037/a0017216.

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Holt-Lunstad J., Smith T. B., & Layton, J. B. (2010). Social relationships and mortality risk: a meta-analytic review. PLoS Med 7, e1000316. https://doi.org/10.1371/journal.pmed.1000316

Hughes, M. E., Waite, L. J., Hawley, L. C., & Cacioppo, J. T. (2004). A short scale for measuring loneliness in large surveys. Research on Aging, 26, 655–672.

Hyland, P., Shevlin, M., Adamson, G., & Boduszek, D. (2014). Modelling the structure of the Attitudes and Belief Scale 2: Toward the development of an abbreviated version. Cognitive Behaviour Therapy, 43, 60-71. doi:10.1080/16506073.2013.777467

Lasgaard, M., Friis, K., & Shevlin, M. (2016). “Where are all the lonely people?” A population-based study of high-risk groups across the life span. Social Psychiatry and Psychiatric Epidemiology, 51, 1373-1384. DOI: 10.1007/s00127-016-1279-3

Masi, C., Chen, H., Hawkley, L. C. & Cacioppo, J. (2011). A meta-analysis of interventions     to reduce loneliness. Personality and Social Psychology Review, 15, 219-266. doi:              10.1177/1088868310377394

Olesen, J., Gustavsson, A., Svensson, M., Wittchen, H. U., Jönsson, B.; CDBE2010 study group; European Brain Council. (2012). The economic cost of brain disorders in Europe. European Journal of Neurology, 19, 155-162. doi: 10.1111/j.1468-1331.2011.03590.x.

Rudatsikira, E., Muula, A. S., Siziya, S., & Twa-Twa, J. (2007). Suicidal ideation and associated factors among school-going adolescents in rural Uganda. BMC Psychiatry, 67, 1-6.

Young, J. E. (1982). Loneliness, Depression and Cognitive Therapy: Theory and Application. In L. A. Peplau, & D. Perlman (Eds.), Loneliness: A Sourcebook of Current Theory, Research and Therapy (pp. 1-18). New York: Wiley.

 

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