People describe sadness as “heartache.” The link between sadness and physical pain such as heartache has been empirically proven; however, the mental foundations that support the connection between sadness and pain remain unclear. The present study hypothesized that the connection between sadness and specific physical pain is established by concepts referred to as “sadness-pain concept,” which are internalized based on features relating to interactions between the body and external situations. We examined the use of pain-related onomatopoeias as metaphorical words for expressing sadness, setting three primary goals for our study: (i) to identify sadness-pain words usable for both sadness and physical pains, (ii) to determine the specific sadness-pain words used for certain sadness situations, and (iii) to reveal the pain-related characteristics that are linked to such sadness situations. Sixty-nine participants were asked to rate 28 pain-onomatopoeic words in terms of the types of emotions, sadness situations, body parts, and characteristics of pain respectively. Consequently, seven words were identified as sadness-pain words. Furthermore, the specific sadness situations related to each sadness-pain word were determined. Situation-dependent sadness-pain words, for example, zukin zukin for loss, were found to be associated with specific body parts and pain properties. These findings indicate that the shared representation of sadness and physical pain as an emotional concept is based on interactions between the body and external situations.
Citation: Shirai M, Soshi T (2019) Why is heartache associated with sadness? Sadness is represented by specific physical pain through verbal knowledge. PLoS ONE 14(5): e0216331. https://doi.org/10.1371/journal.pone.0216331
Editor: Mariella Pazzaglia, University of Rome, ITALY
Received: December 3, 2018; Accepted: April 18, 2019; Published: May 1, 2019
Copyright: © 2019 Shirai, Soshi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: MS received JSPS KAKENHI grant number JP18K13285. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
A common phrase used to express the psychological state of sadness is “my heart is broken,” referring to physical pain, which is defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage (The International Association for the Study of Pain: IASP). Such an expression has metaphoric significance because those who utter it are not actually experiencing physical pain evoked by invasive stimuli. Although the close connection between the psychological state of sadness and specific physical state of pain has been verified through our daily life, the mental foundations that support the connection between sadness and physical pain remain unclear. This unresolved question may relate to the traditional mind-body problem as considered by René Descartes (1596–1650) , that a physical state is translated into a psychological state through an expression of physical pain.
The mind-body linkage could be instantiated by the “sadness-pain concept,” which can be used to represent both sadness and physical pains. Such emotional concepts are composed of a set of features , which function as a unified concept in not only distinguishing major emotional concepts such as sadness and happiness, but also discriminating between subtypes within the same major emotion (e.g. ). Such feature-based representation of emotional concepts is fundamental for constructing “knowledge of emotion” as a collection of emotional concepts, which enables us to identify our own and others’ emotional states in daily situations [3, 4]. Sadness-pain concept, therefore, is assumed to possess overlapping features, which probably makes it possible to express sadness as well as physical pains.
Two key elements may be related to overlapping features underlying the sadness-pain concept. The first element is the body, as physical signals play an important function in both sadness and pain . Among various related features, such as external triggering events and subjective or psychophysiological responses [6–9], bodily expressions construct the emotions [10, 11], as per William James’s viewpoint of the association between emotion and bodily response . In fact, the behavioral expression “heartache” is frequently utilized as a sadness-expressive word in describing loss of loved one or social rejection [13–16]. Based on autonomic physical-response properties, sadness can be divided into subtypes, such as loss and failure. Though both loss- and failure-sadness increase the skin conductance responses, for loss-sadness, it takes longer for the levels to return to normal than that for failure-sadness . Loss- and failure-sadness are also conceptualized differently based on their physical-activation properties : loss-sadness is associated with less-overt physical actions, which are performed to cope with psychological damage [17, 18]; on the other hand, failure-sadness is associated with overt behaviors, which are performed to achieve goals [19, 20]. Physical pain in specific body parts is communicated to the brain through nociception [21, 22], and this motivates organisms to avoid the triggering threat and move to safety . In order to determine subjective criterion regarding pain, the relationship between body parts and pain properties is essential, as this can help individuals to learn and recognize specific feelings of pain (e.g., a stomach pain) .
The second element is external situations surrounding our physical entity. Through the course of their lives, people are exposed to various situations and experience a range of emotional and mental states [24, 25]. In particular, sadness can occur in response to social events such as social rejection, homesickness, or loss (e.g., loss of loved one) , which occur during interactions of the body with the social environment. Actually, sadness comprising loss- and failure-sadness [15, 16] is represented differently in verbal concepts based on their physical-activation features , and can induce different autonomic physiological responses . Thus, sadness possesses properties of interaction between the social situations and body. Physical pain is also inseparable from external situations. We, as signal-enabling organisms, can interpret painful stimuli as an alarm signal and consequently take physical action to avoid life-threatening situations . Once adaptive natures of the pain signal [27, 28] become dysfunctional, human physical behaviors may neither maintain homeostasis nor take appropriate actions in correspondence to situational demands. Chronic pain, for example, affects adaptive behaviors ; people with chronic pain can develop impaired behavioral inhibition, as they must change their perceptions of pain as a result of the situational demands they experience . Taken together, the two key elements of situation and body are not divisible and interact with each other to construct sadness-pain concepts.
To examine sadness-pain concepts internalized in the mind, one useful method is to test verbal knowledge, because verbal items such as words encode internalized emotional concepts [4, 31, 32]. The Japanese language has numerous words or onomatopoeias for expressing not only emotional, but also painful states. Onomatopoeias are defined as words that sound similar to those they represent and include sounds associated with nature, animals, and humans  (e.g. dog’s barking such as “wan wan” in Japanese and “Bow wow” in English); such terms can also represent various symbolic expressions that describe actions, behaviors, and human psychological states [33, 34]. Onomatopoeic expressions are acquired in early developmental stages [35, 36], and are used frequently in not only public (e.g. newspaper) and private (e.g. daily conversation) situations. They typically function as a modifier of predicates or nouns such as adverbs and adjectives and can vividly represent subtle differences and nuances of expressions . For example, crying-related onomatopoeias can effectively represent different types of crying behaviors, such as overt (e.g., “boro boro” represents crying with large amounts of tears) and less-overt expressions (e.g., “shiku shiku” represents soft weeping) . Pain-related onomatopoeias also selectively represent specific types of pains, distinguishing subtle differences in pain properties (Onomatope Lab: http://onomatopelabo.jp/index.html?medical); for example, some of these onomatopoeias are associated with headaches (e.g., “gan gan”: pain or noise echoing in the head), while others are associated with back pain (e.g., “jin jin”: incessant pain and numbness in the afflicted area).
The present study hypothesized that sadness and specific types of physical pain possess overlapping features that form a single verbal concept, which is topologically defined by physical properties and situations. To test this hypothesis, we selected pain-related onomatopoeias as possible elements of verbal concepts for expressing sadness, and performed three investigations: (i) identifying words that are applicable to pain and sadness, (ii) determining sadness-pain words that are appropriate to particular sadness situations, and (iii) revealing the kinds of physical characteristics (pain expressions and body parts) associated with sadness situations. Through these investigations, we sought to reveal psychological foundations for a shared mental representation between sadness and physical pain.
Materials and methods
Sixty-nine undergraduate students (36 male, 33 female) with a mean age of 20.39 years (SD = 1.25) participated in the study. All were native Japanese speakers and received course credit in return for their participation. Informed consent was obtained from all participants prior to the experiment. The experimental protocol was approved by the ethics committee of the faculty of psychology at Doshisha university and accorded with the 1975 Helsinki declaration and its later amendments.
The present study featured pain-expressive word stimuli, with their respective congruency with four factors being determined (pain-related: body parts, characteristics of pain expressions; emotion-related: types of emotions, sadness-related situations), as described below.
From an overall pool of 4,500 onomatopoeic and mimetic words, 28 words (e.g., zuki zuki: throbbing, grinding pain) were selected based on a priori categorization of pain-related words in the Japanese Onomatopoeia Dictionary  (see Table 1).
Thirty-six physical parts of the body were selected for assessing the congruency between pain-expressive words and body parts, referring to the Anatomical Dictionary (https://anatomy1.net/?FrontPage#f0d042ac). These included not only outer physical areas, but also internal organs; specifically, the body parts were: head-neck (nine parts): head, face, eyes, nose, mouth, jaw, tooth, neck, and throat; trunk (five): shoulder, chest, abdomen, waist, and back; limbs (17): arm, elbow, hip, hand, leg, wrist, ankle, knee, shin, fingertip, tip of toe, heel, palm, dorsum of hand, sole of foot, dorsum of foot, and joints; and others (four): muscles, stomach, heart, and other internal organs.
Characteristics of pain expression
Overt pain-expression properties were categorized into four types based on : continuity (acute–chronic), activation (activation–deactivation), intensity (weak–strong), and acuity (sharp–dull). Pain-related studies have generally examined these characteristics in clarifying the properties of pain [39, 40]. Participants were asked to assess the characteristics of pain following the instruction: “To what extent does zuki zuki indicate activation (other pain properties)?”
Types of emotions
Four basic emotions (sadness, happiness, anger, and fear) were selected based on the previous study . Emotional feeling is occasionally represented by referring to somatic sensations; notably, as mentioned above, feelings of sadness are commonly represented by pain-related expressions such as “heart ache” .
Six sadness situations were chosen: loss, failure, breakup, loneliness, disease, and family rift; these were reported in  as situations that notably evoke sadness. These situations were specified through a cluster analysis and multi-dimensional scaling, with similarities identified among the situations.
First, the participants judged how suitable the pain-expressive words were for expressing the four major emotions (sadness, happiness, anger, and fear); responses were given using a 10-point Likert scale (“1” = “does not express,” “10” = “expresses very appropriately”). Thus, the participants rated a total of 112 pairs (28 words × four emotions). Second, they assessed how appropriately the pain-expressive words matched the six sadness-related situations. The congruency between the words and each situation was evaluated using 168 pairs (28 words × six situations), and also involved the use of a 10-point Likert scale (“1” = “does not express,” “10” = “expresses very appropriately”). Third, the participants rated the relationship between the words and the body parts (28 words × 36 body parts = 1,008 pairs), again using a 10-point Likert scale (“1” = “does not express,” “10” = “expresses very appropriately”). Finally, each word’s level of pain-expression was assessed (28 words × four pain-expressive properties = 112 pairs), based on a 10-point Likert scale (e.g., duration of pain: “1” = “short,” “10” = “long”).
The stimuli were presented randomly using Qualtrics survey software (http://www.qualtrics.com) and data were collected through online. For each pair, an instruction sentence regarding how the pain-expressive words should be assessed was positioned at the top of the screen and the 10-point rating scale was presented at the bottom. Participants reported their scores for each item by selecting on the appropriate area of the scale. Participants performed the tasks at their own pace, being given sufficient time to consider each question.
The analysis aim was to reveal how the relations between pain-expressive words and sadness emotion are instantiated into verbal expressions. Therefore, we examined (i) pain-expressive words that can also express sadness (analysis 1), (ii) the kinds of sadness situations that specifically match particular sadness-pain words (analysis 2), and (iii) the kinds of pain-related profiles (body parts and characteristics of pain expressions) represented by the sadness-pain words (analysis 3) (Fig 1).
Analysis 1 aimed to identify the pain-expressive words that can also express the feeling of sadness. Analysis 2 aimed to identify the sadness situations that are specifically associated with the specified sadness-pain words. Analysis 3 sought to determine the kinds of pain-related profiles (body parts and characteristics of pain) that were represented by the situation-dependent sadness-pain words.
In analysis 1, we specified the pain-expressive words that can suitably express sadness; that is, sadness-pain words. A hierarchical cluster analysis was performed based on the emotional-expressive scores (0–10) for each word in order to obtain word clusters with similar expressive patterns. Between-word distances were computed based on Euclidean distances, and the words were clustered using Ward’s linkage method. To specify clusters with a dominant sadness property, each word within the sadness cluster was analyzed using a one-way repeated-measures analysis of variance (ANOVA) with emotion (four levels: sadness, happiness, anger, fear) set as the independent variable. When the main effect was significant, post-hoc analyses using the Bonferroni method were performed to reveal whether the scores for sadness were significantly higher than those of the other emotions (p < .05). Greenhouse-Geisser correction of degree-of-freedom was also applied, if necessary.
In analysis 2, to identify the specific relation between each sadness-pain word specified in analysis 1 and the sadness situations, we conducted multiple-regression analyses for each word, using the congruency score with sadness as the dependent variable (y), the congruency scores with the sadness situations as the independent variable (x), and sex as the control variable. The regression analysis was conducted using the backward elimination method (the inclusion criterion was a coefficient (β) of p < .05 for the independent variable) and the significant model with the highest model-fitting value (adjusted R2) was adopted.
In analysis 3, we sought to determine the kinds of pain-related profiles that are linked to the sadness-pain words specified in analysis 2. Thirty-six body parts were initially clustered based on the congruity scores between the words and body parts, using Euclidean distances and Ward’s linkage method. Subsequently, multiple-regression analyses were conducted for each word to predict their respective congruency scores for the sadness situations, with pain profiles as the independent variable and sex as the control variable, and using the backward elimination method (p < .05). We consequently chose a significant model with significant βs and the highest model-fitting value (adjusted R2).
Analysis 1: Sadness-expressive words
Hierarchical cluster analysis observed the four main clusters, which corresponded to the classification of the four major emotions (Fig 2); Table 2 shows the averaged congruency ratings between each emotion and the words in each cluster. Specifically, the first cluster comprised eight words that had a higher congruency rating for sadness (6.37 ± 1.45) than for the other emotions (happiness: 1.84 ± .57; anger: 3.47 ± .70; fear: 3.29 ± .41); these were consequently referred to as sadness-pain words (Fig 1). The second cluster comprised 14 words with relatively high congruency ratings for anger. The third cluster comprised three words that had high congruency ratings for both happiness and fear. Finally, the fourth cluster comprised three words that were highly congruent with anger.
The first cluster (blue line) consisted of the eight words with the highest congruent rating for sadness, which were referred to as sadness-pain words. The second cluster (red line) consisted of 14 words with relatively high congruency ratings for anger. The third cluster (purple line) was composed of three words that had high congruency with both happiness and fear. The fourth cluster (green line) comprised three words that were highly congruent with anger.
To statistically test the dominant sadness property of the first cluster, each word’s congruency with the four emotions was analyzed, using an ANOVA with emotion set as the independent variable. The main effect of emotion was determined to be significant for all eight words (all ps < .01) [shiku shiku: F (3, 204) = 296.04, ε = .79, pη2 = .81; shikuri shikuri: F (3, 204) = 118.88, ε = .73, pη2 = .64; zuki zuki: F (3, 204) = 50.11, ε = .85, pη2 = .42; gusa gusa: F (3, 204) = 63.65, pη2 = .48; chiku chiku: F (3, 204) = 36.00, ε = .86, pη2 = .35; zukin zukni: F (3, 204) = 42.23, ε = .89, pη2 = .38; hiri hiri: F (3, 204) = 20.74, ε = .84, pη2 = .23; and jin jin: F (3, 204) = 11.44, ε = .83, pη2 = .14]. Post-hoc comparisons indicated that all of these words, except hiri hiri, had significantly stronger congruency with sadness than with the other emotions. Consequently, the first analysis identified seven sadness-pain words (shiku shiku, shikuri shikuri, zuki zuki, gusa gusa, chiku chiku, zukin zukin, and jin jin).
Analysis 2: The relations between sadness-pain words and sadness situations
Multiple regression analysis for each word predicted the sadness congruency by the congruency for sadness situations and sex as a control variable (see Table 3). The regression model significantly predicted each word’s congruency with sadness (except gusa gusa) (all ps < .01) [shikuri shikuri: adjusted R2 = .33, F (2, 66) = 17.41; zuki zuki: adjusted R2 = .27; F (1, 67) = 25.88; zukin zukin: adjusted R2 = .25; F (1, 67) = 23.99; shiku shiku: adjusted R2 = .13; F (1, 67) = 10.97; jin jin: adjusted R2 = .20; F (1, 67) = 17.94; chiku chiku: adjusted R2 = .15; F (1, 67) = 13.41].
Specifically, shikuri shikuri was found to be congruent with sadness for both loss (β = .38, t = 3.40, p < .01, VIF = 1.26) and disease (β = .31, t = 2.73, p = .01, VIF = 1.26) situations. Further, zuki zuki’s congruency rating was significantly predicted by loneliness situations (zuki zuki: β = .53, t = 5.09, p < .01, VIF = 1.00), and that of zukin zukin was significantly predicted by loss situations (zukin zukin: β = .51, t = 4.90, p < .01, VIF = 1.00). Shiku shiku’s sadness-congruency score was significantly predicted by breakup situations (β = .38, t = 3.31, p < .01, VIF = 1.00), while that of jin jin was significantly predicted by loneliness (β = .46, t = 4.24, p < .01, VIF = 1.00) and that of chiku chiku was significantly predicted by failure (β = .41, t = 3.66, p < .01, VIF = 1.00). In summary, the six sadness-pain words were determined to be associated with specific sadness situations.
Analysis 3: The relation among body parts, pain-expressive properties, and sadness situations for the sadness-pain words
For analysis 3, a hierarchical cluster analysis was first performed for each sadness-pain word in order to group body parts that have similar word-body properties. Consequently, four words (zuki zuki, zukin zukin, chiku chiku, and shikuri shikuri) produced five body-part clusters, while the remaining words (shiku shiku, jin jin) produced four clusters.
Situation-congruent ratings for each word were multiple-regressed, using pain profiles as the independent variable [clustered body-part and pain-expressive properties (continuity, activation, intensity, acuity)] and sex as the control variable. Significant models were found for five words [zuki zuki for loneliness: adjusted R2 = .16; F (2, 65) = 7.24, p < .01; zukin zukin for loss: adjusted R2 = .06, F (1, 67) = 5.04, p < .05; shiku shiku for breakup: adjusted R2 = .12, F (2, 66) = 5.49, p < .01; chiku chiku for failure: adjusted R2 = .23, F (2, 66) = 10.97, p < .01; shikuri shikuri for diseases or injury: adjusted R2 = .08, F (2, 65) = 3.85, p < .05].
The congruency between zuki zuki and loneliness was significantly predicted by body-part cluster 1 (β = .37, t = 2.56, p = .01, VIF = 1.04) and by sex (β = .29, t = 3.27, p < .01, VIF = 1.04); cluster 1 comprised 18 body parts [head-neck (five): eyes, mouth, jaw, neck, and throat; trunk (one): shoulder; limbs (10): arm, elbow, hand, wrist, ankle, knee, shin, fingertip, tip of toe, and heel; and others (two): muscle and other internal organs] (Fig 3A). Meanwhile, the congruency between zukin zukin and loss was significantly predicted by cluster 3 (β = .26, t = 2.24, p = .03, VIF = 1.00), which comprised two body parts (chest and heart) (Fig 3B). For the congruency between shiku shiku and breakup, cluster 2 and 4 were significant predictors (cluster 2: β = −.55, t = 3.28, p < .01; cluster 4: β = .34, t = 2.04, p = .05, VIF = 2.13). Cluster 2 consisted of 25 body parts [head-neck (four): nose, mouth, jaw, and neck; trunk (four): shoulder, waist, back, and hip; limbs (15): arm, elbow, hand, leg, wrist, ankle, knee, shin, fingertip, heel, palm, dorsum of hand, sole of foot, dorsum of foot, and tip of toe; others (two): bone and muscle] and cluster 4 comprised five parts (eyes, tooth, chest, internal organs, and heart) (Fig 3C).
In each figure, the color-marked body parts are those that were determined in analysis 3 to be significantly associated with situational-dependent sadness-pain words. A) indicates the 18 body parts that were significant predictors for zuki zuki for loneliness, B) indicates the two body parts that were significant predictors for zukin zukin for loss, C) indicates the 25 body parts (blue) that were negative predictors and the five parts that were positive predictors for shiku shiku for breakup, and D) indicates the four body parts that were significant predictors of chiku chiku for failure. A red circle signifies a positive predictor, while a blue circle signifies a negative predictor.
The congruency between chiku chiku and failure was significantly predicted by cluster 5 (β = .48, t = 4.43, p < .01, VIF = 1.03) and pain intensity (β = .25, t = 2.32, p < .01, VIF = 1.03). Cluster 5 consisted of four body parts (stomach, heart, abdomen, and chest) (Fig 3D). For shikuri shikuri, cluster 1 and 2 were significant predictors, but high multicollinearity was observed between them (VIF = 24.42), both ratings were integrated into one item and re-introduced into the multiple regression analysis; no significant regression model was observed.
The present study aimed to elucidate how psychological foundations support the shared mental representation between sadness and physical pain as a single concept in our long-term memory. For this, we prepared a verbal experimental paradigm including a three-stage research investigation: the first stage concerned identifying sadness-pain words, the second concerned identifying the relations between these sadness-pain words and specific sadness situations, and the third concerned identifying pain-related characteristics (body parts and properties of pain) associated with the sadness-pain words. We determined that some onomatopoeic words represent both sadness and physical pain and are closely related to specific physical and situational properties. First, seven words were identified as being sadness-pain words: shiku shiku, shikuri shikuri, zuki zuki, gusa gusa, chiku chiku, zukin zukin, and jin jin. Then, these sadness-pain words were determined to be selectively related to specific sadness situations; for example, the high level of sadness implied by zukin zukin is related to loss-situations (funeral). Third, the situation-sensitive sadness-pain words were determined to be associated with specific body parts and pain properties, respectively; for example, the high congruency between zukin zukin and loss situations was related to high congruency with specific body parts, such as the chest and heart. Thus, sadness and physical pain can be represented by single verbal concepts based on features related to physical and situational properties.
The identified relation between sadness and physical pain supports the theory that emotional experiences are an interactive product of exteroception and interoception , based on the interaction between the body/mind and social situations. Exteroception is defined as sensing stimuli that originate from environments outside the body, while interoception is defined as sensing the internal bodily condition . The interoceptive inference theory  posits that emotional experiences are based on both interoceptive and extroceptive changes in physical conditions. Both sadness and pain possess extroceptive aspects, as they are dependent on the perception of external stimuli in specific environments, and they enable us to execute appropriate responses to such situations [4, 27, 45]. Sadness and physical pain are also fundamentally related to interoception occurring within the body. Sensitivity to subtle changes within the body modulates subjective and emotional experiences, including sadness and pain [44, 46], which explains why individuals encountering the same external situations can have differing subjective experiences. The present findings suggest that sadness-pain concepts are represented by memorizing features of not only internal physiological changes, but also information on body parts and the relevant social situations. In this sense, the body is the essential reference site for integrating interoceptive and extroceptive aspects of emotional experiences, yielding the psychological foundation for sadness-pain concepts.
Representing a psychological state by using a sadness-pain concept is advantageous for describing not only self-emotional states, but also cognitive (e.g., why our emotional state is in its current condition) and social information (e.g., how we must act or respond to situations), and also for inferring others’ states and sharing feelings . Such integrated aspects of the sadness-pain concept are also supported clinically. Inadequately referring to and appropriately integrating extroceptive and interoceptive information has been found to evoke emotional dysfunction because identifying specific emotional states has adaptive value [47, 48]. People with depressive symptoms, for example, change the way in which the self is situated in social situations, showing less sensitivity to situational information in their emotional processing  and a diminished ability to appropriately differentiate emotional experiences . It can be concluded that topological interaction between the body and mind, and the situation in question is fundamental for constructing emotional concepts that guide us towards taking functional actions in response to the demands of the situation.
Specifically, several such concepts can represent the unique relation between sadness and physical pain profiles. Zuki zuki (throbbing, grinding pain) is related to loneliness-sadness and represents throbbing pain, which is generally transmitted by group C nerve fibers and is evoked by both tissue and nerve injuries ; consequently, zuki zuki should be applicable for expressing pain in a wide range of body parts. Accordingly, the present results show highly congruent associations between zuki zuki and numerous body parts; its congruency with loneliness is associated with a congruency with a large cluster of 18 body parts (see Fig 3A). Throbbing pain in specific parts of the body (e.g., the jaw) may not always represent loneliness-sadness. However, when people possess higher sensitivity to the congruency between loneliness-related body parts, they can also more appropriately judge congruency with other body parts, because it is likely that they have the ability to detect slight state changes within their bodies. Additionally, sensitivity to loneliness-sadness is probably important for maintaining a good social life. Social connectedness is crucial for maintaining psychological well-being , and, in order to maintain well-being, people must monitor and recognize loneliness as an alarm signal for social rejection or isolation [13, 52]. Therefore, people with high interoception can sensitively recognize the relation between specific pain and certain body parts and use specific pain-related terms to describe loneliness-sadness; this allows them to more easily identify their sadness states and consequently maintain well-being. On the other hand, the control variable of sex also predicted the congruency rating of loneliness-sadness. Female participants showed higher congruency ratings than did male participants (women = 5.67, men = 4.28). Sex-related differences regarding perceiving physical pain have been widely reported; for example, women have been found to possess greater sensitivity to pain stimuli than do men ; women have also been found to show greater stress responses to social rejection, evoking loneliness-sadness, than do men . Therefore, women may, more sensitively use pain-related words to represent loneliness-sadness than men would.
Zukin zukin (continuous throbbing pain) is another expression for throbbing pain, and is related to loss-situations; specifically, zukin zukin represents incessant throbbing pain. Loss-sadness yields a continuous arousal response  and, when it is prolonged, often leads to depressive symptoms . The continuous nature of the term provides the psychological basis for the high congruency between zukin zukin and loss-sadness. The congruency for loss-sadness was predicted by two body parts, the chest and heart. The expression “heartache” tends to be utilized as a sadness-expressive word [3, 15, 16]; furthermore, interoceptive sensitivity to sadness can be measured by determining how accurately participants can perceive their heartbeat (e.g., ); greater increases in interoceptive awareness are associated with stronger emotional experiences (e.g., ). Therefore, the present finding regarding zukin zukin also confirms that the chest and heart are associated with awareness of interoception, and referencing them can be considered a symbolic expression reflecting a common belief that emotion is grounded in bodily responses .
The congruency rating of shiku shiku (continuous spasms of dull pain) for breakup-sadness was predicted by two body clusters: 25 body parts and five body parts (see Fig 3C). Shiku shiku represents dull pain, which is predominately transmitted by group C nerve fibers that also transmit blunt pressure  and radiating pain [58, 59]. The cluster comprising 25 body parts was a negative predictor, indicating that the use of shiku shiku for breakup-sadness is not applicable for a wide range of body parts. On the other hand, the five body parts (eyes, tooth, chest, internal organs, and heart) were a positive predictor; people with more sensitive localization of extroceptive stimuli perceived through these body parts are more likely to use shiku shiku to describe breakup-sadness feelings. Further, among these body parts the chest and heart were found to be related through zukin zukin to loss-sadness, indicating that breakup-sadness shares some properties with loss-sadness. Similar to loss-sadness, sadness feelings relating to a breakup are symbolized by “heartbreak” expressions, which are commonly used in daily life.
The congruency between chiku chiku (repeated pricking pain) and failure was significantly predicted by four body parts: the stomach, heart, abdomen, and chest (Fig 3D). Chiku chiku, differing from the above four words for pains associated with group C nerve fiber, is associated with Aδ-fiber , and represents a pricking pain such as that evoked by a needle entering the skin ; this is qualitatively distinguished from dull or throbbing pain . Such neural-based discrepancy also supports the theory that loss- and failure-sadness possess different features, comprising different subtypes in the major emotional category of sadness [3, 16]. It is likely that internal body parts such as the heart or stomach function as fundamental body parts for integrating extroceptive and interoceptive information, as stressful life events can cause stomach aches . Another predictor of the congruency between chiku chiku and failure-sadness is the intensity of the pain. Compared to group C nerve fibers, Aδ-fibers mediate the pain represented by chiku chiku, resulting in less engagement in homeostatic and interoceptive functions ; at the same intensity of pain, it is likely that Aδ-fiber works less actively than does C-fiber in referring interoceptive information and maintaining homeostasis. However, if the pain level becomes intense, interoceptive information is useful. Therefore, people who experience a more intense pricking pain tend to consider chiku chiku to be more applicable to failure-sadness because they can more closely attribute it to their internal states.
The present results have implications for the efficacy of representing mental states in terms of verbal knowledge. Verbally recognizing our own feelings and other’s mental states may contribute to evaluating emotional states to promote mutual communications. Quantitatively identifying emotional states may be often difficult even for ourselves due to subjective ambiguity and variation. As revealed in the present study, on the other hand, specific physical pain words can represent subtypes of sadness. Such metaphorical expressions may promote to identify vague emotional states because intensity of physical pains is relatively easy to assess for ourselves, and can, by extension, represent subtle nuances of emotions such as “Loss of a loved one makes my heart ache.” Furthermore, “affect labeling,” which is putting feelings into words, has been focused on as one of the emotion regulation strategies in research domains . Affect labeling leads to better psychological outcomes because it facilitates the identification of own feelings accurately, which decrease negative emotions . Therefore, sensitively verbalizing various types of sadness via physical pain words may contribute to healing sadness.
In conclusion, sadness and specific physical pain can be represented as unique emotional word. Each sadness-pain word is selectively related to a specific sadness situation and specific body parts. Sadness-pain concepts, therefore, construct knowledge of emotion based on features representing the interaction between the body/mind and external environments, providing advantageous information for adapting to situational demands encountered throughout life.
S1 Data. Data for Analysis 1. Congruency ratings between the sadness-expressive words and the four majour emotions.
S2 Data. Data for Analysis 2. Congruency ratings between the sadness-expressive words and the sadness-related situations.
We gratefully acknowledge the work of participants. We are grateful to the reviewers for their valuable comments. We would like to thank Editage (www.editage.jp) for English language editing. Second author is now moved to Graduate school of advanced integrated studies in human survivability, Kyoto University.
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