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Central to Subjective Wellbeing Homeostasis (SWB homeostasis) and the major component of SWB is the stable background influence of Homeostatically Protected Mood, abbreviated as HPMood (Blore et al., 2011; Cummins, 2017; Davern et al., 2007). From Russell’s (2003) initial conceptualising of Core Affect, the phrase, HPMood, was created by Cummins (2010) to describe a stable, low-intensity, object-free, neuro-physiologically generated positive mood state that is the catalyst for an individual’s general motivation for life. In 2009, Russell revised his definition of Core Affect, describing the variable as a conflation of mood and emotion, liable to change under external influences and attached to objects. This definition was no longer consistent with how mood was understood within SWB homeostasis theory. Hence, Cummins (2010) developed the term HPMood to refer to the stable, underlying, object-free mood that dominates SWB.
Concerning the origin of HPMood, Capic, Li, and Cummins (2018) argue that individuals have a genetically determined and unchanging level of HPMood that is biologically hard-wired and represents an individual’s set-point. The term set-point was initially used in connection with SWB by McGue, Bacon, and Lykken (1993) and was followed by Cummins (1995), who, for the first time, attached set-points to an SWB homeostatic management system.
By connecting set-points to SWB homeostasis, researchers were provided with an alternate explanation for the observed stability of SWB (Cummins, 2003, 2016, 2017). While Lykken and Tellegen (1996) initially associated this stability with genetics, Headey and Wearing (1989) named the phenomenon an individual’s equilibrium level and determined the genetic source as personality. Further, Headey and Wearing (1989) allowed a degree of permanent change to set-points within their theoretical perspectives.
However, proponents of SWB homeostasisnow regard the role of personality as moot and disagree with Headey and Wearing's description of slow permanent changes to equilibrium levels in response to chronic changes such as wealth, social connections or age (Headey & Wearing, 1992). According to SWB homeostasis theory, set-points are not analogous to an individual’s equilibrium. Rather, set-points are genetically fixed at a constant level analogous to other biological systems evolved to control physiological states such as blood pH levels.
Consequently, under normal operating conditions, an individual’s set-point is inert to environmental provocations via the protection of a homeostatic management system. This system effectively dampens transient emotional responses by employing homeostatic mechanisms (discussed shortly) that return SWB levels toward an individual’s set-point. Longer-term changes in SWB can also occur; however, they do not represent a change in set-point but an obstinate defeat of homeostasis due to a controlling stressor such as depression (Cummins, 2010).
While set-point theory emerged as an explanatory model explaining SWB stability, until 2014, no direct evidence for their existence had emerged. Difficulties associated with providing evidence were due to the non-equivalence between measured SWB and a respondent’s set-point (Capic et al., 2018). So, when individuals respond to a question such as “How satisfied are you with your life-as-a-whole?” according to SWB homoeostatic theory, their answers are influenced by interactions between two variant affective components of SWB. These constituents are a genetically set level of HPMood, and a small affective contribution comprised of transient, felt emotions generated from notable environmental stimuli (Cummins, 2017).
Thus, to provide conclusive evidence for the existence of set-points, a method for separating the conflation of HPMood and emotion from measured SWB was required. A methodology for untangling emotion from HPMood was achieved by Cummins et al. (2014), who provided the first direct substantiation for the existence of set-points and their stabilising role on SWB.
Evidence for the existence of set-points came from analyses associated with a 10-year longitudinal study conducted by Cummins et al. (2014). The study took data collected each year from 7,356 respondents participating in the Household, Income and Labour Dynamics in Australia Survey (Watson & Wooden, 2012). Each respondent answered the global life satisfaction question, “All things considered, how satisfied are you with your life?” Answers were rated on a 0–10 response scale (0 = “No satisfaction at all” to 10 = “Completely satisfied”) and subsequently projected onto a 0 to 100-point scale. At the end of the 10 years, each respondent’s ten raw scores were used to generate a within-person mean and employed to allocate each participant to a category. Each category represented a range of 5 points. For example, the category ranging between 96-100 points contained 309 people, representing 4.2 % of total respondents.
A mean and normative range for each category was calculated after assigning participants to categories. Subsequently, outliers were eliminated based on two a-priori assumptions. First, homeostatic processes operate only over a narrow range of the 0 to 100-point response scale. Within this range, an individual’s normal homeostatic functioning maintains SWB levels around their set-point. Second, values outside this range represent respondents experiencing homeostatic defeat (described in Section 5.3.3.6), whereby a transient emotional state has overwhelmed the stable background influence of the dominant component of SWB, HPMood.
After the first iteration, each category's new mean and normative range is created, and outliers are subsequently removed. The data-stripping process is repeated until all outliers are removed from each category, leaving an approximation of the normal distribution of SWB set-points between 71 and 90 points on the standardised scale with an average range of 18–20 points for each person over time (see their Section 5.3.6.6 for this calculation).
Using a similar data-stripping process to validate findings from Cummins et al. (2014), Capic et al. (2018) employed pooled data from 1,151 respondents who had completed at least five surveys from 25 study waves referred to as the Australian Unity Wellbeing Index (The Australian Centre on Quality of Life, 2017). For the first time, Capic et al. (2018) extended her investigation to include HPMood.
Capic et al. (2018) found that the set-point distribution for SWB was normal, and the average range of values distributed around each set-point was between 75 and 90 points. The average set-point range for each person was calculated at approximately 16.5 points, representing the normal SWB range for individuals. Similar results emerged for the HPMood variable. Understanding this later finding within the study’s data-stripping process confirms a central tenet of SWB homeostasis. Equivalency between the SWB and HPMood results, after removing the overlaid emotional contribution to SWB and retaining only mood, provide evidence for each person having a genetically determined and unchanging level of HPMood, representing their set-point.
In summary, a methodology enabling the isolation of HPMood from emotion paved the way for a demonstration of the existence of set-points for SWB by Cummins et al. (2014). These findings were confirmed by Capic et al. (2018) and extended to include evidence for the existence of set-points for HPMood. In response, this set-point is believed to be genetically pre-determined (Capic et al., 2018; Diener et al., 2015).
Therefore, as HPMood is described as “the basic psychological molecule that homeostasis seeks to protect” (Capic et al., 2018, p. 1), a detailed explanation of the psychological homeostatic defensive system follows.
Homeostasis, as portrayed by Cannon (1932), evolved to maintain normal body states, such as a person’s core body temperature, around a genetic set-point. This set-point reflects the optimal functional state for organisms under normal conditions. When a physiological variable, such as core body temperature, is threatened and begins to drift above or below its set-point, reflexive homeostatic measures are deployed to return the variable towards its normal operating level.
Similarly, SWB is another homeostatically-operated variable; when threatened, psychological homeostatic devices engage to return an individual’s SWB level toward their genetically determined set-point (Cummins, 2018).
The effectiveness of the SWB homeostatic management system in defending an individual’s set-point is a function of the capacity of available resources to act against challenges (Cummins, 2010). Within SWB homeostasis, these defensive resources are termed buffers and categorised as either external or internal.
Three external buffers recruited to facilitate homeostasis are listed by Cummins (2018) and include money, personal relationships and achieving in life. These external buffers defend SWB and assist in homeostatic recovery. In addition to external resources, internal resources are denoted as habituation and adaptation, self-esteem, optimism and perceived control, with the latter three referred to as cognitive buffers (Cummins & Lau, 2004; Cummins & Nistico, 2002). The external buffers are now briefly reviewed, followed by a detailed explanation of the internal buffers.
Identifying money, personal relationships and a sense of achieving as external buffers emerged from research associated with measured SWB. The simplest measure of SWB is a single global life satisfaction (GLS) question (International Wellbeing Group, 2013). This question was created by Andrews and Withey (1976) and asks, “How do you feel about your life as a whole?” (p. 66). This single-item measure is a simple approximation of SWB, though not as reliable as multi-item scales such as the Personal Wellbeing Index (PWI, International Wellbeing Group, 2013, see Section 5.3.1 for a full discussion).
The PWI contains seven items of satisfaction relating to different life domains. These domains are standard of living, health, achieving in life, personal relationships, safety, community connectedness, and future security. Over the last 16 years, the PWI has been employed within an Australian context to measure SWB. Subsequent analyses of each domain's contribution to SWB identify standard of living, personal relationships and achieving as more predictable contributions of unique variance to GLS than the other four domains (Cummins, 2018).
The inferential response by Cummins (2018) to these variant domain contributions to SWB is that “not all life domains are equal in their capacity to support SWB homeostasis” (p. 19). Thus, the colloquialism referred to as the golden triangle of happiness was invented to describe the primacy of standard of living, expressed by Cummins (2018) as “money” (p. 19), personal relationships and a sense of achieving in life, defined as “the process of active engagement, providing purpose in life” (p. 20), as dominant external homeostatic mechanisms that support SWB and assist in homeostatic recovery. Each is now discussed.
Early research by Campbell et al. (1976) suggested that money weakly correlates with an individual’s SWB. Subsequent research published by Headey and Wearing (1992), and later by Diener, Suh, Lucas, and Smith (1999), supported this view. However, a subsequent literature review by Cummins (2000) found “that personal income is a very important element in the maintenance of SWB, most particularly for people who are poor” (p. 151).
For example, a recent Australian Unity Wellbeing Index (AUWI) study aggregated data collected from 2002-2017 and described the relationship between SWB and demographic measures such as income. The study reports that people with gross household incomes < $30,000 had significantly lower levels of SWB compared to those with incomes ranging from $30,000 to $100,000. In addition, for those with annual incomes < $30,000, their SWB levels were, on average, below the Australian adult normal range of 74.2 to 76.8 percentage points. By comparison, the SWB of people with incomes from $30,000 to $100,000 fell within the normal adult range (The Australian Centre on Quality of Life, 2017).
In addition, researchers such as Easterlin, McVey, Switek, Sawangfa, and Zweig (2010) reported that the relationship between money and SWB follows an asymptotic curve. For example, over time, increases in income above a certain threshold do not continue to raise subjective perceptions regarding how well life is going (Easterlin et al., 2010). The threshold for gross household income within an Australian context is approximately $91,000 - $120,000, with increased income beyond this point not consistent with significant increases in SWB and with higher incomes showing no increases in SWB (Cummins et al., 2009).
The explanatory reach of SWB homeostasis not only rationalises the observed asymptotic curve but also explains Cummins’ (2000) finding of the disproportional impact of money on the SWB of people who are poor. The explanation centres on an individual’s genetically determined set-point for SWB and its normal operating range.
For example, when SWB drops below its set-point range, homeostatic mechanisms, such as money, can be employed to return SWB towards its normal range. Thus, for poorer people with low levels of SWB, increasing finances is associated with an increase in SWB. However, for these people, when their SWB returns to its normal operating range of values, further increases conclude as the genetic set-point cannot be permanently modified, just as a healthy individual’s core body temperature cannot be permanently increased.
Finally, Cummins (2000) contends that money exerts a dual action within the homeostatic system. The first action is defensive. Adequate financial resources are utilised to defend against negatively valenced emotions such as depressive symptomology. These negative emotions threaten to overwhelm the homeostatic management system, which evolved to maintain SWB at mildly positive levels. Therefore, in response to threats such as depression, the utility of money allows individuals to employ professional assistance at the onset of symptoms, thus, buffering the threat and returning SWB towards its set-point. Second, adequate financial resources support the production of positively valenced emotions by facilitating involvement in activities that are intrinsically rewarding to individuals and, thus, supportive of mildly positive levels of SWB (Cummins, 2000).
Within the context of SWB homeostasis, personal relationships constitute a second external homeostatic resource. Personal relationships are operationalised as the mutual contribution of intimacies and support (Cummins, 2018). Based upon this definition, a distinction is drawn between the incidence of a personal relationship as an objective factor and satisfaction with a close and intimate personal relationship as a subjective phenomenon. Therefore, a personal relationship acts as a buffer to SWB when it offers a partner the benefits of intimacy, such as sharing personal problems, thus potentially alleviating the burden of any threat to SWB (Diener, Oishi, & Tay, 2018). Likewise, the consistency of care and availability of a partner may reinforce the person’s cognitive buffers of self-esteem, optimism and control (discussed shortly), thus strengthening internal homeostatic resources in the face of challenging agents.
A large corpus of literature attests tothe efficacy of personal relationships as a moderator against stressors (for a review, see Sarason, Sarason, & Pierce, 1990). For example, Sarason et al. (1990) claim that amongst older people, personal relationships foster increases in an individual’s perceived sense of support and acceptance that subsequently moderates the influences of anxiety and depression.
Evidence of associations between SWB and mutual contribution of intimacies and support is provided by the 34th Australian Unity Wellbeing Index (2017). This report details positive linear associations between personal relationships and SWB for those aged between 26 and 65. For example, this report reveals, on average, married people within Australia have the highest levels of SWB, followed by individuals in de facto relationships. By contrast, people who are unmarried or in de facto relationships, separated, divorced or never married have SWB levels below the Australian normative range of 74.2 to 76.8 percentage points.
Supporting findings from the 34th Australian Unity Wellbeing Index (2017), a recent longitudinal study of data collected by the British Household Panel Survey (Grover & Helliwell, 2019) reports married people have higher SWB levels than unmarried. In addition, Grover and Helliwell (2019) controlled for pre-marital SWB levels and found those who marry are more satisfied with their lives. These data support the inference that personal relationships benefit SWB.
The third external homeostatic resource defending an individual’s set-point against homeostatic failure is a sense of achieving, defined by Cummins (2016) as “the process of active engagement that provides purpose in life” (p. 70). This definition and relationship to SWB is supported by McKnight and Kashdan (2009), who describe the purpose in life as a catalyst for goal-setting whereby achieving personal goals subsequently moderates motivations for life, described as both the product and goal of SWB homeostasis (see Section 2.3 for a full discussion, Cummins & Lau, 2004).
Further, Argyle (2001) noticed that when this external homeostatic resource is denied through circumstances such as unemployment, individuals return lower levels of SWB compared to those who are gainfully employed. Similarly, Lucas, Clark, Georgellis, and Diener (2004) report a reduction in SWB levels associated with declines in perceived achievement through the loss of significant family roles and relationships.
While the primacy of money, personal relationships and a sense of achieving in life act as dominant external homeostatic resources, SWB homeostasis also describes internal buffers that reflexively protect and maintain SWB within its set-point range of values. These are now discussed in detail.
A strong determinant of mood happiness is the influence of internal mechanisms of homeostatic control to retain jurisdiction of SWB when confronted by a threat (Cummins, 2017). These internal mechanisms not only assist in retaining control of SWB, but they also restore the dominance of HPMood after an affective experience moves an individual’s SWB away from their set-point (Cummins & Wooden, 2014). These internal homeostatic control mechanisms include habituation and adaptation, and three cognitive buffers conceptualized as self-esteem, perceived control and optimism.
Nomenclature around habituation and adaptation is easily confused. Both terms refer to an organism becoming desensitized to new stimuli, although they have differential influences concerning the operation of SWB homeostasis.
Habituation is defined by Thompson (2009) as a ubiquitous neurophysiological phenomenon whereby exposure to a repeated frequent stimulus decreases subsequent responsiveness within organisms. For example, a new proximal sound may draw an individual’s attention; however, the individual becomes accustomed to this audible stimulus over time. Subsequently, attention and response to the noise diminish. This diminishing response is habituation.
Habituation is adaptive, involving primitive learning mechanisms evolved to conserve resources in the presence of predictable stimuli (Humphrey, 1933). Therefore, as an internal reflexive mechanism of homeostatic control, habituation mitigates minor predictable positive or negative challenges to SWB (Cummins, 2018). Consequently, under normal conditions, an individual’s optimal functional state remains mostly unaltered as minor agitations to SWB are corrected by habituation. SWB is thus effectively maintained around its set-point.
Adaptation, like habituation, involves an organism becoming desensitized to stimuli. However, the nature of the stimulus differs between these constructs. While habituation is a response to a repeated frequent stimulus, adaptation refers to the process whereby an organism adapts to a continuous, unchanging stimulus (Helson, 1964; Luo, 2019). Within SWB homeostasis, adaptation is a fundamental psychological buffer.
Over time, adaptation allows people to tolerate a reduced negative or positive reaction to changed circumstances (Andrews & Withey, 1976). For example, when Brickman et al. (1978) compared happiness levels between people who won the lottery and people who became paraplegic following trauma 18 months after the event, despite an initially large discrepancy, happiness levels for each group had returned to their baseline levels. One explanation for these findings is the adaptation process described by Helson’s (1964) adaptation level theory.
Adaptation level theory posits that when an individual’s assessment of their current level of stimulation is higher (as was the case for Brickman’s (1978) lottery winners) or lower (Brickman’s (1978) paraplegic participants) than usual, an unconscious process is enacted to dampen the valence of the emotional response. This is referred to by Helson (1964) as a shift in adaptation level whereby the novel situation is now re-categorized as normal. At this point, the individual has become accustomed to the permanent stimulus.
Despite little attention given within the corpus of SWB literature to confirming Helson’s (1964) theory, and the insufficiency of non-significant correlational findings to identify the causal mechanisms of adaptation, SWB homeostasis has annexed adaptation level theory. This is due to proponents of SWB homeostasis theory finding within adaptation level theory an explanatory model for the observed stability of SWB levels in the face of permanent positive and/or negative changes in an individual’s life circumstance. They state, “It is clear that adaptation to altered circumstances of living does occur through one means or another, and that such processes are involved in maintaining the set-point-range of SWB” (Cummins & Lau, 2004, p. 288).
In addition to habituation and adaptation, internal homeostatic control mechanisms include the cognitive buffers: self-esteem, optimism and perceived control (Cummins, 2018; Taylor et al., 2012). This section will define each, then report evidence for their association with SWB and describe the most common measures for gathering self-esteem, optimism and perceived control data. The conclusion of the section describes their role as a buffer within SWB homeostasis theory.
Literature is replete with studies concentrated on self-esteem. For example, in 2019, a search of the PsychInfo database yielded 50,781 results for self-esteem compared with 7,891 for SWB. Within many of these studies, self-esteem is described in line with Rosenberg’s (1979) definition as an attitude of self-worth held by an individual towards an object. In this case, the object is one’s self. According to Rosenberg, an individual’s attitude towards themselves gives rise to either positive or negative feelings. Maintaining positive feelings towards oneself is fundamental and ubiquitous to human beings (Kaplan, 1975; Rosenberg, 1979).
Self-esteem has been theoretically connected to SWB. For example, Diener et al. (2015) locate SWB within his theory of positive mood offset (a term analogous to the mood component of Cummins’ HPMood and Russell’s core affect ) by conflating positive mood offsetwith Leary’s sociometer theory of self-esteem (Leary, Tambor, Terdal, & Downs, 1995). This conflation explains why, universally, people feel and maintain mildly positive moods in the absence of strong emotional events by connecting an individual’s mood with their personal relationships and self-esteem.
For example, according to Diener et al. (2015), when close relationships elicit feelings of being valued by another, an individual’s self-esteem and positive mood are sustained. By contrast, exclusion from relationships can lower someone’s sense of worth and, if left unaddressed, will eventually negatively impact mood. In addition, Diener et al. (2015) also include adaptive responses to lowering self-esteem levels within their explanatory model. Behavioural adaptations are activated that increase the likelihood of future connections with other people; thus, when these behaviours produce the desired result, restored personal connection to others, self-esteem is increased, which moderates the return of an individual’s normal level of positive mood.
In addition to theory, empirical associations between self-esteem and SWB are well documented (Hajek & König, 2019). While Diener et al. (2015) may assert that “self-esteem can be considered a form of subjective well-being” (p. 236), these empirical findings suggest while self-esteem and SWB share similar properties, empirical findings support both their association and their essential differences. For example, Campbell (1981) showed self-satisfaction was the strongest predictor of SWB (.55) compared to other variables such as salary (.48), family (.45) and friends (.39). In addition, Argyle and Lu (1990) reported that self-satisfaction more strongly predicts life satisfaction than personality variables such as extraversion. Similarly, Diener and Diener (1995) identified self-esteem as the strongest predictor of SWB in their between-country study, reporting significant correlations in 29 of 31 countries, the highest being America at .60. Assessing the effect size of these findings from the report is opaque. However, these authors, recognizing the need for this information, state, “Our results point to the need for examining whether effect sizes systematically vary across cultures” (Diener & Diener, 1995, p. 661).
In reviewing the cross-cultural findings from Diener and Diener (1995), Cummins and Nistico (2002) noted that the strength of associations between SWB and self-esteem were stronger in individualistic compared to collectivist cultures (see Na et al., 2010 for a cautionary note regarding generalising cultural group distinctive to individuals within the group). According to Diener and Diener (1995), this is because, within individualistic contexts, such as Australia, people are socialized to attend to their own inner attributes. Varnum, Grossmann, Kitayama, and Nisbett (2010) agree, noting cultural contexts validating independence “tend to emphasize self-direction, autonomy, and self-expression” (2010, p. 9). Thus, it is likely that people within individualist cultures primarily utilise their unique attitudes, emotions, and cognitions when making SWB judgments, resulting in stronger correlations between self-esteem and SWB (Lai, 2015). By contrast, collectivists are socialized to understand themselves as fulfilling duties within the community (Tam, Lau, & Jiang, 2012) and attending to harmony with other community members (Grossmann & Na, 2014; Varnum et al., 2010). Thus, feelings about one's self are less salient to the satisfaction-with-life construct than the organized social order, evidenced by lower correlations between self-esteem and SWB.
Finally, Diener and Diener (1995) also suggest that the differential importance of self-esteem in collectivist and individualistic nations is due to the socialization of affect. This is premised on their findings that students in the United States believe positive affect is normative, whereas students in Korea and China included negative affect. Therefore, these authors hypothesise that “life satisfaction may be based more on positive feelings in individualistic nations, [than] in collectivist nations [where] life satisfaction might be influenced by a more prevalent negative focus and therefore be more dependent on how many problems and social conflicts the person faces” (p. 662).
Whatever the cause, Diener’s (1995) observation of different associations between self-esteem and SWB as a function of whether people are participating in individualistic or collectivist cultures is also supported by (Lai, 2015) and has major implications. At the very least, these observations demand a cautious approach to gathering data from collectivist cultures. Researchers ought to include methodological safeguards limiting the introduction of bias from strong cultural forces and deploy analytic strategies such as multi-group confirmatory factor analysis to evaluate the effectiveness of these strategies. These methods would constitute a minimum before any valid inferences could be drawn from gathered cross-cultural data using Western scales.
The Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1965) is the most widely employed instrument for measuring self-esteem. It is favoured for its brevity, manifold translations and reported invariance across cultures. The questionnaire asks people, regarding their current feelings, to indicate their level of agreement (measured on a 4-point scale “strongly agree, agree, disagree, strongly disagree), with the following 10 statements:
1. On the whole, I am satisfied with myself.
2. At times I think I am no good at all.
3. I feel that I have a number of good qualities.
4. I am able to do things as well as most other people.
5. I feel I do not have much to be proud of.
6. I certainly feel useless at times.
7. I feel I am a person of worth, at least on an equal plane with others.
8. I wish I could have more respect for myself.
9. All in all, I am inclined to feel that I am a failure.
10. I take a positive attitude towards myself.
A self-esteem score is obtained by summing the five positively worded items and five negatively worded items (reverse scored). High scores indicate robust levels of self-esteem. The measure has sound psychometric properties with test-retest correlations ranging between .82 to .88, and a Cronbach's alpha reported at .86 (Mellor et al., 2008).
However, Song, Cai, Brown, and Grimm (2011) and Chao, Vidacovich, and Green (2016) report differential item functioning for the negatively worded items between Western and cross-cultural contexts. These authors argue that the differential item functioning is suggestive of the increased cognition required in responding to negatively worded questions on an agree-disagree scale and impacts the construct validity by consistently producing a bi-factorial structure (Quilty, Oakman, & Risko, 2006; Salerno, Ingoglia, & Lo Coco, 2017). As a result, they recommend researchers only employ the five positively worded items in their scales “as the advantages of including both positively and negatively worded items seem to be offset by these methodological issues” (p. 114).
Despite the problems identified with retaining positive and negatively worded items, except for single-item measures of global self-esteem (Brailovskaia & Margraf, 2018), a search in 2019 of Medline Complete, MeSH, PsycINFO, socINDEX and Google Scholar failed to locate studies employing only a positively worded version of the RSES. By contrast, to reduce the possible introduction of bias from the negatively worded items, the Australian Unity Wellbeing Index survey regularly employs the five positively worded items RSES as a measure of self-esteem.
Optimism is defined by Scheier and Carver (1985) as the expectancy held by individuals that future life outcomes are likely to be favourable. Further, these authors argue that an optimistic attitude regulates behaviours such as an initial willingness to engage with fearful activity and continued engagement. By contrast, those with lower levels of optimism are less likely to engage and quicker to disengage with fear-inducing activity. As a result, it is hypothesised that higher levels of optimism translate to successfully engaging in more positively valenced outcomes, increasing an individual’s overall SWB (Diener et al., 1999).
A positive association between optimism and SWB (r = .61) is reported by Dember and Brooks (1989), who measured optimism within 106 students by items such as “I generally look at the brighter side of life.” In addition, similar empirical links between optimism and SWB have been reported by Lucas, Diener, and Suh (1996), reporting a correlation of .60 and Compton (2000), at .52.
To measure dispositional optimism and pessimism, a re-evaluation of the original 12-item Life Orientation Test (LOT, Scheier & Carver, 1985) by Scheier, Carver, and Bridges (1994) resulted in the production of the shortened version, referred to as the Revised Life Orientation Test (LOT-R), correlating .95 with the original LOT. The preeminence of the LOT-R, as a measure of optimism within SWB literature, is well attested, returning 14,900 citations through Google Scholar in 2019. The scale contains ten items consisting of three positively worded items and three negatively worded items, plus four filler items that are not scored.
Despite the prominence of this 10-item scale, a reasonable argument is made within the literature to justify shortening the scale further. For example, an analysis of the LOT-R by Maher and Cummins (2001) suggested that filler items, designed to highlight response sets, add unnecessary length to questionnaires and response sets are easily identified via other methods during data cleaning, which researchers remove before analyses. Further, Scheier and Carver (1985) designed the LOT-R to measure optimism; therefore, the negatively worded statements assessing pessimism are likely redundant.
Empirical justification for the redundancy of items assessing pessimism is supported by the CFA analyses of the LOT-R by Herzberg, Glaesmer, and Hoyer (2006). This study, examining data collected from 46,133 people, confirms that the two-factor solution for the LOT-R (CFI = .99; RMSEA = .04) is a superior fit to these data when compared to a single factor model (CFI = .62; RMSEA = .21). Further, studies confirming the reliability of the optimism dimension, including Reilley, Geers, Lindsay, Deronde, and Dember (2005), reporting Cronbach’s alpha’s of .83 and .82 in studies consisting of 204 and 273 respondents respectively, and, Chang, Maydeu-Olivares, and D'Zurilla (1997) who also report a Cronbach’s alpha of .91 for the optimism dimension of the LOT-R. Finally, correlations supporting the discriminant and convergent validity of the LOT-R’s optimism dimension are also reported within these studies by Reilley et al. (2005) and Chang et al. (1997).
As a result, researchers such as Vautier, Raufaste, and Cariou (2003) are justified when they state, “there is no empirical necessity for hypothesizing that the dispositional optimism construct must be split into optimism plus pessimism” (p. 390). Therefore, following suggestions by Maher and Cummins (2001) and Vautier et al. (2003), only the three positively worded statements from the LOT-R were included throughout the current thesis. These statements are:
1. In uncertain times, I usually expect the best.
2. I'm always optimistic about my future.
3. Overall, I expect more good things to happen to me than bad.
Perceived control is defined within the current thesis as the extent to which individuals believe they are in control of their lives. By contrast, based on research by Peterson (1999), perceived control has also been defined as how people behave to augment good outcomes for their lives (Blore, 2008). The distinction is pertinent.
Perceived control, operationalised according to how people behave to maintain control of their lives, has informed the selection of scale items measuring control on most Australian Unity Wellbeing Index surveys conducted before and after the 23rd edition. For these surveys, various control strategies are derived from Heeps (2000) and based upon theory originating from Rothbaum, Weisz, and Snyder (1982).
The Australian Unity Wellbeing Index questions pertaining to control strategies begin with the statement "When something bad happens to me" and are followed by statements such as "I ask others for help or advice" and "I remind myself something good may come of it." Respondents represent their level of agreement on an 11-point scale ranging from 0 (“strongly disagree”) to 10 (“strongly agree”). These items require participants to consider the strategies they use to regain control when ‘something bad happens,’ with the first response tapping a behavioural tendency that enlists external resources to maintain control, and the second, describing a preferred internal cognitive response utilised to restore control. The statement "When something bad happens to me" and the two options offered to respondents answering the Australian Unity Wellbeing Index tap their preferred way of coping, not the degree to which they feel they are coping.
When the definition of perceived control is operationalised to measure the strategy employed to regain control, the extent to which an individual feels they are currently in control of their life is not tapped. In relation to SWB, Diener et al. (2015) note the primacy of these feelings as the catalyst for subsequent behaviours that an individual engages to maintain control and their subsequent set-point for SWB. Similarly, within SWB homeostasis theory, there is a theoretical relationship between feelings of control, subsequent behaviours engaged in maintaining these (as reflected by the questions posed within the Australian Unity Wellbeing Index listed within the prior paragraph) and the buffering of threats to SWB.
There exist discrete scales to measure each. For example, the one used by the Australian Unity Wellbeing Index to assess preferred behavioural responses to the loss of control, and another, a revised version of Pearlin and Schooler’s scale (1978), to measure perceived control, as defined within the current thesis. Pearlin and Schooler’s (1978) seven original items are:
1. I have little control over the things that happen to me.
2. There is really no way I can solve some of the problems I have.
3. There is little I can do to change many of the important things in my life.
4. I often feel helpless in dealing with the problems of life.
5. Sometimes I feel that I'm being pushed around in life.
6. What happens to me in the future mostly depends on me.
7. I can do just about anything I really set my mind to do.
A revised version of Perlin and Schooler’s original scale (1978), employed within the 23rd Australian Unity Wellbeing Index, reduced the number of scale items from seven to five by removing the positively-worded items. The rationale for reducing items includes producing a scale with consistency regarding its valence, and, avoiding likely bias introduced by differential item functioning from including both positive and negatively worded items. Items retained by the 23rd Australian Unity Wellbeing Index are:
1. I have little control over the things that happen to me.
2. There is really no way I can solve some of the problems I have.
3. There is little I can do to change many of the important things in my life.
4. I often feel helpless in dealing with the problems of life.
5. Sometimes I feel that I'm being pushed around in life.
As previously discussed, at the core of SWB homeostasis is the background influence of Homeostatically Protected Mood (HPMood, Cummins, Capic, Hutchinson, Fuller-Tyszkiewicz, & Olsson, 2018). HPMood is a person’s stable, positive, mild background affect that is genetically fixed at a constant level in the same way other biological systems control physiological states such as core body temperature. The genetic contribution is called HPMood’s set-point and is important to human functioning by generating a person’s general motivation for life (Cummins, 2017). These set-points for HPMood are reported as being normally distributed within Australia’s general population between 75 and 90 percentage points on a 0-100 percentage point scale where 0=no positive feelings at all and 100=very high positive feelings (Capic et al., 2018).
The basis for Capic’s (2018) finding regarding the distribution of set-points for HPMood is the analysis of data gathered by self-report measures, including the HPMood scale and the Personal Wellbeing Index. However, when people rate their satisfaction levels on these scales, the elicited response replicates a single stream of consciousness consisting of two major components. These components are HPMood, and an overlay of emotion made up of momentary affective-cognitive interactions between someone’s thoughts and salient environmental factors. Therefore, during measurement, the conflation of HPMood and current emotion influence a person’s response. This leads to Cummins et al. (2018) asserting that SWB, HPMood and a person’s set-point are discrete. Specifically, SWB consists primarily of HPMood, but not entirely, and HPMood consists of mood and emotion.
Thus, under normal operating conditions with low levels of emotional input from the environment, HPMood dominates the affective content of a person’s SWB. However, when a person’s current emotional state becomes highly valenced, the salience of HPMood gives way to the dominant emotion (Cummins, 2017). This is by design. In evolutionary terms, hominins are selected for survival when threats eliciting emotions result in focused attention to its source and the production of a set of subsequent favourable responses that reduce the threat level (Frijda, 1986).
SWB Homeostasis theory includes the external and internal mechanisms systematically engaged to produce a range of favourable responses to negative emotion-inducing environmental stimuli. These favourable responses include behaviours such as removing one’s self from the proximity of a threat, utilising money to access treatment for the triggers of negative emotional valence such as illness or disability, or engaging internal cognitive buffers such as optimism, self-esteem and perceived control to minimise the impact of personal failure on our positive view of self.
These internal buffers effectively negate threats by engaging strategies such as social comparison, whereby attempts to reduce strong negative emotions associated with difficult life circumstances are achieved by seeing ourselves as “less badly off” than others. In addition to social comparisons, goal disengagement is another internal strategy that reduces the strength of negative emotions brought on by blocked personal goals. In response, individuals reduce effort and or commitment to a task premised on revised cognitions regarding the intrinsic value of the original goal (Stiegelis et al., 2003; Wrosch, Scheier, Carver, & Schulz, 2003). For example, failing academic performance may produce the revised perspective that the earlier goal, my academic qualification, is not necessary for vocational success. Thus, disengaging from my original goal buffers heightened negative emotion around academic failure. While these and other homeostatic buffering mechanisms associated with SWB homeostasis are robust, as demonstrated by Australian SWB scores, averaged across 16 years, revealing a narrow range of 74.2 to 76.8 percentage points and a grand mean of 75.5 (The Australian Centre on Quality of Life, 2017), the system is not impervious to a threat.
When the homeostatic system encounters negative experiences of sufficiently strong nature and/or duration, a homeostatic breakdown can occur (Cummins, 2010). This term describes the regulatory failure of the system under chronic and persistent conditions. Those exposed to the greatest risk of homeostatic breakdown are people already functioning at the edge of their set-point for SWB. For these individuals, homeostasis works hard to restore equilibrium and prevent SWB from deteriorating beyond its set-point (Cummins, 2010). When the system is overworked, indicated by measured scores beyond the lower bounds of their set-point (SWB < 50%SM), Cummins (2010) reports increased correlations between these SWB levels and psychopathology, such as depression. For these individuals whose SWB is < 50%SM, “the basic psychological molecule that homeostasis seeks to protect” (Capic et al., 2018, p. 1), HPMood, is now likely to be experientially opaque, replaced by an enduring negatively valenced emotion.