Abstract
Background:
In recent years, there have been many studies using the Affective Neuroscience Personality Scales (ANPS) to investigate individual differences in primary emotion traits. However, in contrast to other primary emotion traits proposed by Jaak Panksepp and colleagues, there is a considerable lack of research on the LUST (L) dimension – defined as an individual’s capacity to attain sexual desire and satisfaction – a circumstance mainly caused by its exclusion from the ANPS. Therefore, this study aims to take a first step toward the development of a standardized self-rate measurement for the L-disposition. For this purpose, two versions of the L-scales (L-12 and L-5) were developed and evaluated regarding reliability and aspects of validity.
Materials and Methods:
After a pilot study (N = 204; female: 81%) with an initial 20-item pool item reductions were conducted. This led to the construction of a 12-item (L-12) version and a 5-item version (L-5), which were assessed in a second sample consisting of 371 German-speaking healthy adults (58.50% female) aged 18–69 years (M = 28; SD = 9.75). Aspects of external validity were assessed by investigation of correlations with the ANPS, psychiatric symptoms (Brief Symptom Inventory-18), attachment security (Adult Attachment Scales) and personality functioning (Operationalized Psychodynamic Diagnostics Structure Questionnaire). To evaluate structural validity, both L-scales were investigated via confirmatory factor analysis (CFA).
Results:
Cronbach’s α indicated excellent internal consistency regarding L-12 (α = 0.90), while L-5 showed acceptable reliability (α = 0.82). CFA of a bifactor model of the L-12 indicated excellent model fit. Moreover, an excellent model fit was observed regarding a single factor model of L-5. For both scales small to moderate positive correlations were observed with SEEKING, PLAY, and secure attachment, while they exhibited small to moderate negative correlations with SADNESS, insecure attachment, lower personality functioning, and increased psychiatric symptom load.
Conclusion:
Both newly developed scales exhibit satisfying psychometric properties, indicating high reliability, good structural validity and plausible correlations with external criteria. Hence, this study poses an important step toward the operationalization of the LUST concept. However, more research is needed in particular with respect to the scale’s external validity and its applicability in clinical populations.
Introduction
Affects are considered as the paramount motivational foundation of human behavior, contributing a significant proportion to the formation of the individuals’ temperament and personality (). In recent decades, several attempts were made to differentiate and categorize basic affective systems (e.g., ; ; ; ). In contrast to more cognitively oriented emotion/affect models, emphasized the role of subcortical brain areas in the emergence of primary emotions [in Affective Neuroscience (AN) theory, affect is usually used synonymous with the term emotion]. Based on ethological research, he distinguished seven primary emotion networks, neuroanatomically located between the Periaqueductal Gray (PAG) and the limbic forebrain (; ). These cross-species primary-process systems are assumed to act as prototype emotional states, which can be evoked via artificially induced stimulation (). The Affective Neuroscience Personality Scales (ANPS; ) aim to measure six dimensions of these primary emotion systems including SEEKING, ANGER, FEAR, PLAY, SADNESS, CARE, and asses an additional spirituality scale.
While also conceptualized as a primary emotion, LUST was excluded from operationalization in the ANPS as the authors assumed that it “seems less relevant to current conceptualizations of human personality and we also suspected that it may potentially be an affective factor that people would not wish to be frank about, and thus may contaminate frankness on the other scales” (, p. 1949). Nevertheless, LUST – defined as the “systems that contribute distinctly to female and male sexuality and associated erotic feelings” (, p. 52) – remains a pivotal part of AN and related neuropsychoanalytic theory, involved in important aspects of etiological models concerning psychiatric disorders (; ). Accordingly, it appears sensible to construct a standardized measurement of this dimension in order to facilitate psychometrically oriented neuropsychoanalytic research. This demand is further highlighted by recent progress in this field achieved via the usage of the ANPS concerning investigations of primary emotions and its relationship to personality and phenomena of clinical psychology (; ).
Yet, to the best of our knowledge, no publicly available LUST scale exists until this day. One of the few trackable references to the LUST concept in relation to the ANPS can be found in a conference paper by , which investigated the relationship between the ANPS and the Sexual Desire Inventory-2 (SDI-2; ), indicating a positive correlation between dyadic sexual desire and SEEK and PLAY as well as solitary and total sexual desire with SEEK and ANGER.
describe the development of a LUST measurement in context with the investigation of social dominance. According to the authors, the scale exhibited good internal consistency and was conceptualized via the assessment of “sexual desire, physiological arousal and sexual mentation.” However, this LUST scale was not made publicly available. Nevertheless, the authors reported moderate positive correlations between LUST and SEEKING and PLAY, small positive correlation with CARE and DOMINANCE as well as a small negative correlation with FEAR.
Another attempt to measure LUST was made by , who investigated a primary emotion driven personality concept by the means of neuronal networks training (). While the conceptual strategy of their newly developed self-rate measurement differs rather drastically from the original ANPS, the questionnaire primarily aims to achieve a high predictive validity with respect to psychiatric disorders. Therefore, in its current form, LUST is inversely assessed by three items which focus on inappetence, sadness and loneliness in social situations.
Based on its original definition, the LUST system is linked to feelings of pleasure, sexual urges and gratification, and is reciprocally connected to the SEEKING network (; ; ). Its activation diminishes SEEKING driven appetence behavior and triggers feelings of satisfaction, serving as reward mediating substrate necessary for learning (). This dichotomy between SEEKING and LUST largely corresponds to differentiation between “wanting” and “liking.” In correspondence to this, the process of learning is understood as a coupling between psychomotor SEEKING impulses (“wanting”) and the experience of pleasure mediated by the LUST system (“liking”).
Inferred from animal model, the LUST network is assumed to consist of a complex group of structures, descending from the hypothalamus to the posterior parts of the midbrain (see Figure 1; ; ). Most authors agree that the LUST system is composed of the Bed nucleus of the stria terminalis, the central tegmental field, the preoptic area and the ventromedial hypothalamus, the Nucleus accumbens shell, septum area and the ventral Periaqueductal gray (; ; ; ; ). Neurochemically, the LUST system is largely controlled by endorphins acting on mu, delta- and kappa-opioid receptors in the Nucleus accumbens shell, and hormones like vasopressin, testosterone and oxytocin (; ; ).
FIGURE 1
Moreover, recent studies in humans investigating the neural effects of orgasms with PET scans (
Regarding the clinical significance of the LUST system,
As for associations with other personality traits, the current state of psychodynamic literature suggests associations between increased attachment security and personality functioning with a predominance of positive affective traits (
Study Aims
This study aims to develop and psychometrically evaluate a preliminary measurement tool, which enables the assessment of the LUST concept decisively developed and described by
Thereby, we expected the L-scales to correlate positively with adaptive attachment dimensions (trust and closeness) and negatively with attachment anxiety, as well as positively with personality functioning, and negatively with psychiatric symptom load.
Materials and Methods
Item Generation
After an extensive literature search on available discourse on LUST as well as existing measurements of sexuality, the authors (JF, EJ, and MH-R) developed an item pool of 20 questions, which aimed to operationalize the concept as outlined by
Half of the items were constructed as negatively scored items and formatted in line with the BANPS (
Item Reduction
The initial item pool was tested in a pilot study (N = 204; female: 81%). This initial version of the LUST-scale was estimated to have a Cronbach’s α of 0.70. To achieve a reliable, unidimensional and valid scale this version was trimmed by the examination of (1) item-total correlations, aiming to achieve a Cronbach’s α > 0.90 for the long and a Cronbach’s α > 0.80 for the short version, (2) Item difficulty, thereby it was aimed to achieve a mixed set of item difficulties with a predominance of moderately difficult items, (3) Exploratory factor analysis to test for one-dimensionality and (4) considerations regarding construct validity. The trimming steps were carried out iteratively and led to the construction of a 12-item version (L-12). Moreover, by further reducing the number of items a five-item version (L-5) was developed.
Sample and Procedure
The participants (N = 371; 58.50% female) were recruited through advertising on social networks and public announcements at the Karl-Franzens University of Graz and Medical University of Graz. Informed consent was acquired before each participant filled in the test form that included demographic questions (e.g., age, sex, education status, and occupation status), the newly developed LUST scale as well as standardized questionnaires described below. No recompense was provided. The data were acquired via the online-survey platform LimeSurvey. Participants were included if they were aged over 18, stated no history of psychiatric disorders and completed all questionnaires.
The study was carried out in accordance with the Declaration of Helsinki. Ethical approval was granted by the Ethics Committee of the Medical University of Graz, Austria.
Psychometric Assessment
The German version of the Affective Neuroscience Personality Scales [ANPS;
The Adult Attachment Scale (AAS;
The Operationalized Psychodynamic Diagnostics Structure Questionnaire (OPD-SQS;
The Brief Symptom Inventory (BSI-18;
Statistical Analysis and Analysis Strategy
The confirmatory factor analysis (CFA) was conducted with AMOS 26. SPSS 27.0 was used for data management, descriptive statistics and bivariate correlations. Goodness-of-fit was assessed with maximum likelihood (ML) estimation in AMOS. In accordance with
For the comparison of competing models, the Akaike Information Criterion (AIC) was used, which rewards models that achieve a high goodness-of-fit and penalizes them if they become overly complex (
To establish model identification one factor loading was fixed to 1 for each factor in every specified model (
Results
Sample Characteristics and Descriptive Statistics
The investigated sample consisted of 371 German-speaking adults (58.50% female) which were aged 18–69 years (M = 28; SD = 9.75). Most participants (39%) had a general qualification for university entrance as highest finished education, were in education (53%) and Austrian (80%). Table 1 displays the sample characteristics in detail. Item characteristics of L-12 and L-5 are shown in Table 2. Item-total correlation ranged from riT = 0.54–0.68 for both scale versions. Item difficulty ranged from 45.22 to 63.07 in L-12 and from 45.22 to 57.01 in L-5.
TABLE 1
| Sample | N or M | % or SD |
| Gender | N = 217 Female/ | 58.50% |
| N = 154 Male | 41.50% | |
| Age | M = 28 | SD = 9.75 years |
| Highest finished education | N = 30 High School/ | 8.10% |
| N = 146 General qualification for university entrance/ | 39.35% | |
| N = 72 Bachelor University degree/ | 19.41% | |
| N = 68 Master University degree/ | 18.32% | |
| N = 44 Apprenticeship/ | 11.86% | |
| N = 11 Ph.D./ | 2.96% | |
| Occupation | N = 150 In employment/ | 40.43% |
| N = 198 In education/ | 53.34% | |
| N = 18 Unemployed/ | 4.85% | |
| N = 5 in Pension | 1.35% | |
| Relationship Status | N = 45 Married/ | 12.12% |
| N = 162 In Relationship/ | 43.67% | |
| N = 164 Single/ | 44.20% | |
| Nationality | N = 291 Austrian/ | 80.05% |
| N = 79 German/ | 21.29% | |
| N = 11 Other | 2.96% |
Sample characteristics (N = 371).
TABLE 2
| Scale and Items | X̄i | Si | riT | Pi |
| L-12 | ||||
| 1. Mir fällt es leicht, mich erotischen Erfahrungen hinzugeben | 2.81 | 0.89 | 0.63 | 45.22 |
| 2. Meine Sexualität auszuleben, fühlt sich irgendwie nicht richtig an* | 3.27 | 0.87 | 0.57 | 56.67 |
| 3. Ich empfinde meine Sexualität allgemein als befriedigend | 2.93 | 0.86 | 0.62 | 48.32 |
| 4. Sexualität ist für mich mit Ekel verknüpft* | 3.52 | 0.77 | 0.65 | 63.07 |
| 5. Mir fällt es leicht, einen Orgasmus zu haben | 2.95 | 0.89 | 0.53 | 48.72 |
| 6. Ich stehe Sexualität nicht besonders offen gegenüber* | 3.19 | 0.88 | 0.63 | 54.78 |
| 7. Ich kann das Ausüben von sexuellen Handlungen (Geschlechtsverkehr, Masturbation, etc.) voll und ganz genießen | 3.25 | 0.79 | 0.73 | 56.20 |
| 8. Mit meiner Sexualität habe ich häufig schlechte Erfahrungen gemacht* | 3.28 | 0.84 | 0.58 | 57.01 |
| 9. Wenn ich Sex habe, komme ich meist zu einem Orgasmus | 3.04 | 0.99 | 0.57 | 50.94 |
| 10. Den Anblick von Geschlechtsorganen finde ich abstoßend* | 3.42 | 0.80 | 0.60 | 60.51 |
| 11. Wenn ich einen Orgasmus habe, nehme ich ihn meistens sehr intensiv wahr | 2.99 | 0.84 | 0.54 | 49.87 |
| 12. Sexualität ist für mich sehr mit Scham besetzt* | 3.22 | 0.89 | 0.68 | 55.59 |
| L-5 | ||||
| 1. Mir fällt es leicht, mich erotischen Erfahrungen hinzugeben | 2.81 | 0.89 | 0.66 | 45.22 |
| 2. Mit meiner Sexualität habe ich häufig schlechte Erfahrungen gemacht* | 3.28 | 0.84 | 0.54 | 57.01 |
| 3. Ich empfinde meine Sexualität allgemein als befriedigend | 2.93 | 0.86 | 0.64 | 48.32 |
| 4. Ich stehe Sexualität nicht besonders offen gegenüber* | 3.19 | 0.88 | 0.54 | 54.78 |
| 5. Ich kann das Ausüben von sexuellen Handlungen (Geschlechtsverkehr, Masturbation, etc.) voll und ganz genießen | 3.25 | 0.79 | 0.68 | 56.20 |
Item-characteristics of L-12 and L-5 scales.
N = 371; , Mean of Item scores; si, Standard Deviation of Item scores; riT, Item Total Correlation; Pi, Item Difficulty. *Items are scored inversely.
With regard to sex differences, results indicated higher L-12 scores in males [F(1,369) = 6.49; p < 0.05; Mmale = 3.25; SDmale = 0.56; Mfemale = 3.09; SDfemale = 0.60] with a small effect size of η2 = 0.02, and no differences in L-5 [F(1,369) = 0.71; p > 0.05].
Normal Distribution
Inspection of skewness and kurtosis indicated a normal distribution of both L-12 (skewness = 0.82; kurtosis = 0.74) and L-5 (skewness = −0.67; kurtosis = 0.22).
External Validity
L-12 and L-5 exhibited a large correlation (r = 0.92; p < 0.001; see
TABLE 3
| Measurement | Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | |
| LUST | 1. | L-12 | – | ||||||||||||||||
| 2. | L-5 | 0.93** | – | ||||||||||||||||
| ANPS | 3. | SEEKING | 0.30** | 0.32** | – | ||||||||||||||
| 4. | FEAR | −0.30** | −0.31** | −0.24** | – | ||||||||||||||
| 5. | CARE | 0.13 | 0.14* | 0.24** | 0.14* | – | |||||||||||||
| 6. | PLAY | 0.32** | 0.35** | 0.50** | −0.30** | 0.39** | – | ||||||||||||
| 7. | ANGER | –0.04 | –0.06 | –0.02 | 0.33** | –0.03 | –0.11 | – | |||||||||||
| 8. | SADNESS | −0.25** | −0.27** | −0.25** | 0.68 | 0.08 | −0.29** | 0.37** | – | ||||||||||
| 9. | Spirituality | 0.05 | 0.05 | 0.13 | –0.06 | 0.13 | 0.15* | –0.06 | 0.01 | – | |||||||||
| BSI-18 | 10. | Somatization | −0.21** | −0.21** | –0.10 | 0.31** | 0.03 | −0.17** | 0.23** | –0.03 | 0.30** | – | |||||||
| 11. | Depression | −0.29** | −0.33** | −0.30** | 0.50** | –0.07 | −0.34** | 0.21** | –0.03 | 0.59** | 0.48** | – | |||||||
| 12. | Anxiety | −0.20** | −0.22** | –0.10 | 0.48** | 0.03 | −0.17** | 0.27** | –0.01 | 0.45** | 0.63** | 0.63** | – | ||||||
| 13. | GSI | −0.28** | −0.31** | −0.21** | 0.52** | –0.01 | −0.28** | 0.28** | –0.03 | 0.55** | 0.79** | 0.87** | 0.88** | – | |||||
| OPD | 14. | PS | −0.37** | −0.39** | −0.28** | 0.55** | –0.10 | −0.37** | 0.25** | 0.09 | 0.54** | 0.52** | 0.63** | 0.58** | 0.69** | – | |||
| AAS | 15. | Trust | 0.28** | 0.29** | 0.25** | −0.31** | 0.21** | 0.45** | −0.29** | 0.07 | −0.40** | −0.36** | −0.54** | −0.35** | −0.51** | −0.54** | – | ||
| 16. | Closeness | 0.37** | 0.38** | 0.28** | −0.26** | 0.25** | 0.50** | –0.14 | 0.11 | −0.25** | −0.33** | −0.38** | −0.30** | −0.40** | −0.56** | 0.52** | – | ||
| 17. | Anxiety | −0.27** | −0.28** | −0.19** | 0.53** | 0.09 | −0.20** | 0.22** | 0.00 | 0.64** | 0.34** | 0.55** | 0.52** | 0.57** | 0.66** | −0.44** | −0.27** | – | |
| Descriptive | M | 3.16 | 3.09 | 2.89 | 2.64 | 2.90 | 2.90 | 2.53 | 2.30 | 2.52 | 9.57 | 11.19 | 1.71 | 31.48 | 64.43 | 15.94 | 13.24 | 11.06 | |
| SD | 0.59 | 0.65 | 0.37 | 0.52 | 0.41 | 0.45 | 0.48 | 0.62 | 0.41 | 3.79 | 5.37 | 4.00 | 11.17 | 18.37 | 4.57 | 4.75 | 4.43 | ||
| α | 0.90 | 0.82 | 0.74 | 0.87 | 0.75 | 0.82 | 0.84 | 0.87 | 0.74 | 78 | 0.88 | 0.80 | 0.91 | 0.96 | 0.82 | 0.86 | 0.77 | ||
Descriptive statistics, internal consistency and correlations between the L-scales and measures of personality structure as well as psychiatric symptom burden.
N = 371; ANPS, Affective Neuroscience Personality Scales; GSI, BSI-18 Total Score; PS, OPD Personality Structure; M, mean; SD, standard deviation α, Cronbach’s α. *p < 0.01; **p < 0.001.
Reliability
Cronbach’s α indicated excellent internal consistency regarding L-12 (α = 0.90), while L-5 showed acceptable reliability (α = 0.82).
Confirmatory Factor Analyses of the LUST-Scale
Confirmatory factor analysis fit indices for the 12-item and 5-item version are detailed in Table 4. An initial solution of the 12-item version without correlated error terms estimated a poor fitting model: χ2/df = 8.02; RMSEA = 0.14 (90% CI: 0.13, 0.15); CFI = 0.81; NFI = 0.79; TLI = 0.77; RFI = 0.74.
TABLE 4
| Model | χ2 (df) | χ2/df | RMSEA (90% CI) | CFI | NFI | TLI | RFI |
| 12-Item version (without error term correlation) | 433.13 (54) | 8.02 | 0.138 (0.128–0.150) | 0.810 | 0.790 | 0.768 | 0.744 |
| 12-Item version (Bifactor model) | 84.22 (42) | 2.01 | 0.053 (0.036–0.069) | 0.979 | 0.959 | 0.967 | 0.936 |
| 5-Item version | 2.79 (5) | 0.56 | 0.000 (0.000–0.052) | 1.000 | 0.995 | 1.007 | 0.991 |
Results of the confirmatory factor analysis.
N = 371.
Based on the inspection of error term correlations, a bifactor model of the L-12 scale was investigated, which specified a general factor (L-12) and two residual factors modeled via the assignments of (1) positively poled items and (2) negatively poled items. Results indicated an excellent model fit: χ2/df = 2.02; RMSEA = 0.05 (90% CI: 0.04, 0.70); CFI = 0.97; NFI = 0.96; TLI = 0.97; RFI = 0.93.
L-5 showed an excellent fit with the following indices: χ2/df = 0.56; RMSEA = 0.00 (90% CI: 0.00, 0.05); CFI = 1.00; NFI = 1.00; TLI = 1.01; RFI = 0.99.
As detailed in Figure 2, the factor loadings of the initial L-12 model ranged from β = 0.53 to β = 0.73 (all p < 0.001). Regarding the bifactor model all associations with the total factor ranged from β = 0.53 to β = 0.81, while significant associations with the positive item residual factor were estimated between β = 0.24 and β = 0.78 (all p < 0.001) and between β = 0.26 to β = 0.70 for the negative item residual factor (all p < 0.001). Three items did not show significant association with either residual factor (all p > 0.05).
FIGURE 2

Confirmatory factor analysis of L-12 [χ2/df = 2.02; RMSEA = 0.05 (90% CI: 0.04, 0.70); CFI = 0.97; NFI = 0.96; TLI = 0.97; RFI = 0.93] and L-5 [χ2/df = 0.56; RMSEA = 0.00 (90% CI: 0.00, 0.05); CFI = 1.00; NFI = 1.00; TLI = 1.01; RFI = 0.99]; N = 371; Items with even numbers are scored inversely. ∗p < 0.001.
Results for the five-item version indicated factor loadings ranging from β = 0.53 to β = 0.76 (all p < 0.001).
Discussion
This study aimed to be a building block toward the development of a self-rate measurement for the operationalization of LUST as proposed by
With respect to reliability, L-12 and L-5 exhibited excellent and good internal consistency, respectively, with comparable or even higher Cronbach’s α than the scales of the ANPS. For future studies further markers of reliability (e.g., split half or retest reliability) should be estimated. Additionally, inspection of skewness and kurtosis suggested a normal distribution of both scales with regard to a healthy population, again resonating with the characteristics of original ANPS (
Confirmatory factor analysis of L-12 revealed a bifactorial structure, with one general latent factor and two residual factors which seem to reflect specific variance regarding different answering styles with respect to items formulated positively vs. items which assessed LUST inversely. Alternatively, this result might be interpreted as residual variance caused by items concerning orgasms and items operationalizing disgust and shame, respectively. However, this effect vanished in the short version. L-5 exhibited excellent model fit in a single factor model, making it especially useful for studies applying structural equation modeling.
As the original version of the ANPS is often considered too long, currently two brief versions of the questionnaire have been developed, namely the ANPS short (ANPS-S,
The construction of the L-scales was aimed to be closely aligned to the original definition of LUST as introduced by
In correspondence to this, the L-scales exhibited moderate positive correlations with dispositions toward SEEKING and PLAY, while there were only small to non-significant correlations with CARE. Furthermore, both scales showed moderate negative correlations with SADNESS and FEAR, whereas both were independent of ANGER. Accordingly, the L-scales appear to be more inversely related to negative primary emotions than the scale developed by
In accordance with the current psychodynamic understanding of the functional role of attachment and personality structure regarding affect regulation (
Along these lines, LUST appeared to be negatively related to increased psychiatric symptom burden. More detailed inspection suggests that this is predominantly driven by its negative association with depressive symptoms. Nevertheless, we also found significant (but small) negative correlations with symptoms of anxiety and somatization. These findings are in agreement with the current review of
What is more, neither scale showed a significant correlation with spirituality as assessed with the ANPS. Relatively little is known about the relationship between LUST and spirituality, however,
Limitations and Future Perspectives
Several limitations of this study must be noted which restrain the interpretation of the results and need to be addressed in future research.
A next step in the validation of the L-scales will be the evaluation of its external validity based on measures of sexuality like the Sexual Desire Inventory (SDI,
Another critical issue of the current L-scales is that neither the long- nor the short-version take into account the frequency of sexual behavior as well as the aspect of sexual desire, as corresponding items were excluded based on initial item statistics and considerations regarding internal consistency. Nevertheless, sexual urges and the prevalence of sexual behavior are usually (but not always; see e.g.,
The present study is further limited due to the nature of its sample. The convenient sample was recruited online – an approach which is often controversially discussed in literature (see e.g.,
Finally, our findings are restricted due to a lack of differentiation regarding the sexual orientation or gender identity of participants, as no plausible a priori reasons of significant differences were assumed.
Conclusion
This study aimed to complement the ANPS framework by a LUST scale – a concept which has been discussed as a vital element yet lacks a standardized assessment. The present data suggests that the L-scales scales are distinguished by high reliability, satisfying structural validity and plausible correlations with external criteria. Therefore, this study might serve as vital groundwork for a standardized operationalization of LUST. However, more research will be necessary to further evaluate this questionnaire, especially with considerations to external validity and its applicability in clinical populations.
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Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by the Medical University of Graz. The patients/participants provided their written informed consent to participate in this study.
Author contributions
JF conducted the all statistical analysis and wrote the first draft of the manuscript. EJ, MH-R, and HU read the manuscript and made some critical comments. JF, MH-R, EJ, and HU revised the whole manuscript. All authors contributed to the article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnhum.2022.853706/full#supplementary-material
References
1
Arbeitskreis OPD-2 (2008). Operationalized Psychodynamic Diagnosis OPD-2: Manual of Diagnosis and Treatment Planning.Göttingen: Hogrefe Publishing.
2
BarrettF. S.RobinsR. W.JanataP. (2013). A brief form of the affective neuroscience personality scales.Psychol. Assess.25826–843. 10.1037/a0032576
3
BerridgeK. C.KringelbachM. L. (2015). Pleasure systems in the brain.Neuron86646–664. 10.1016/j.neuron.2015.02.018
4
BoekerH.HartwichP.NorthoffG.eds (2018). Neuropsychodynamic Psychiatry.Luxemburg: Springer.
5
BogaertA. F.SadavaS. (2002). Adult attachment and sexual behavior.Pers. Relatsh.9191–204. 10.1111/1475-6811.00012
6
BrelsfordG. M.LuquisR.Murray-SwankN. A. (2011). College students’ permissive sexual attitudes: links to religiousness and spirituality.Int. J. Psychol. Relig.21127–136. 10.1080/10508619.2011.557005
7
BühnerM. (2011). Einführung in Die Test-und Fragebogenkonstruktion.Hallbergmoos: Pearson Deutschland GmbH.
8
ByrneB. M. (2004). Testing for multigroup invariance using AMOS graphics: a road less traveled.Struct. Equ. Model.11272–300. 10.1207/s15328007sem1102_8
9
CheungG. W.RensvoldR. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance.Struct. Equ. Model.9233–255. 10.1207/S15328007SEM0902_5
10
CohenJ. (1992). A power primer.Psychol Bull.112155–159. 10.1037//0033-2909.112.1.155
11
CollazzoniA.CioccaG.LimoncinE.MarucciC.MollaioliD.Di SanteS.et al (2017). Mating strategies and sexual functioning in personality disorders: a comprehensive review of literature.Sex. Med. Rev.5414–428. 10.1016/j.sxmr.2017.03.009
12
CollinsN. L.ReadS. J. (1990). Adult attachment, working models, and relationship quality in dating couples.J. Pers. Soc. Psychol.58644–663. 10.1037//0022-3514.58.4.644
13
DavisK. L.PankseppJ. (2011). The brain’s emotional foundations of human personality and the affective neuroscience personality scales.Neurosci. Biobehav. Rev.351946–1958. 10.1016/j.neubiorev.2011.04.004
14
DavisK. L.PankseppJ.NormansellL. (2003). The affective neuroscience personality scales: normative data and implications. normative data and implications.Neuropsychoanalysis557–69. 10.1080/15294145.2003.10773410
15
DerogatisL. R. (2001). Brief Symptom Inventory 18.Baltimore: Johns Hopkins University.
16
DolceP.MaroccoD.MaldonatoM. N.SperandeoR. (2020). Toward a machine learning predictive-oriented approach to complement explanatory modeling. an application for evaluating psychopathological traits based on affective neurosciences and phenomenology.Front. Psychol11:446. 10.3389/fpsyg.2020.00446
17
EhrenthalJ. C.DingerU.SchauenburgH.HorschL.DahlbenderR. W.GierkB. (2015). Entwicklung einer Zwölf-Item-Version des OPD-Strukturfragebogens (OPD-SFK)/Development of a 12-item version of the OPD-Structure Questionnaire (OPD-SQS).Z. Psychosom. Med. Psychother.61262–274. 10.13109/zptm.2015.61.3.262
18
EkmanP. (1999). “Basic emotions,” in Handbook of Cognition and Emotion, ed.DalgleishT.PowerM. (Hoboken, NJ: John Wiley & Sons), 16.
19
FirstM. B.SpitzerR. L.GibbonM.WilliamsJ. B. W. (2002). Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition (SCID-I/P).New York, NY: Biometrics Research.
20
FisherW. A.WhiteL. A.ByrneD.KelleyK.GrayJ. (1988). Erotophobia-erotophilia as a dimension of personality // Erotophobia-erotophilia and sexual behavior during pregnancy and postpartum.J. Sex Res.25123–151. 10.1080/00224498809551469
21
FonagyP. (2018). Affect Regulation, Mentalization and the Development of the Self.Abingdon: Routledge.
22
FrederickD. A.JohnH. K. S.GarciaJ. R.LloydE. A. (2018). Differences in orgasm frequency among gay, lesbian, bisexual, and heterosexual men and women in a US national sample // Differences in Orgasm Frequency Among Gay, Lesbian, Bisexual, and Heterosexual Men and Women in a U.S. National Sample.Arch. Sex. Behav.47273–288. 10.1007/s10508-017-0939-z
23
FuchshuberJ.Hiebler-RaggerM.KresseA.KapfhammerH.-P.UnterrainerH. F. (2019). The influence of attachment styles and personality organization on emotional functioning after childhood trauma.Front. Psychiatry10:643. 10.3389/fpsyt.2019.00643
24
GeorgiadisJ. R.KortekaasR.KuipersR.NieuwenburgA.PruimJ.ReindersA. A. T. S.HolstegeG. (2006). Regional cerebral blood flow changes associated with clitorally induced orgasm in healthy women.Eur. J. Neurosci.243305–3316. 10.1111/j.1460-9568.2006.05206.x
25
HashikawaK.HashikawaY.FalknerA.LinD. (2016). The neural circuits of mating and fighting in male mice.Curr. Opin. Neurobiol.3827–37. 10.1016/j.conb.2016.01.006
26
HolstegeG.HuynhH. K. (2011). Brain circuits for mating behavior in cats and brain activations and de-activations during sexual stimulation and ejaculation and orgasm in humans.Horm. Behav.59702–707. 10.1016/j.yhbeh.2011.02.008
27
IzardC. E. (1992). Basic emotions, relations among emotions, and emotion-cognition relations.Psychol. Rev.99561–565. 10.1037/0033-295X.99.3.561
28
JovanovićV. (2015). Structural validity of the mental health continuum-short form: the bifactor model of emotional, social and psychological well-being.Pers. Individ. Differ.75154–159. 10.1016/j.paid.2014.11.026
29
KellyD. L.ConleyR. R. (2004). Sexuality and schizophrenia: a review.Schizophr. Bull.30767–779. 10.1093/oxfordjournals.schbul.a007130
30
KernbergO. F. (2015). Neurobiological correlates of object relations theory. The relationship between neurobiological and psychodynamic development.Int. Forum Psychoanal.2438–46. 10.1080/0803706X.2014.912352
31
KlineR. B. (2015). Principles and Practice of Structural Equation Modeling.New York, NY: Guilford Publications.
32
KrauseR. (2012). Allgemeine Psychodynamische Behandlungs-und Krankheitslehre: Grundlagen und Modelle.Stuttgart: Kohlhammer Verlag.
33
KumsarN. A.KumsarŞ.DilbazN. (2016). Sexual dysfunction in men diagnosed as substance use disorder.Andrologia481229–1235. 10.1111/and.12566
34
LotterH.DauphinB. (2014). “What ever happend to LUST? Expanding the measures of primary process subcortical brain systems for the affective neuroscience personality scales,” in Proceedings of the Society for Personality Assessment 2014, Arlington, VA.
35
MarengoD.DavisK. L.GradwohlG. ÖMontagC. (2021). A meta-analysis on individual differences in primary emotional systems and Big Five personality traits.Sci. Rep.11:7453. 10.1038/s41598-021-84366-8
36
MontagC.ElhaiJ. D.DavisK. L. (2021). A comprehensive review of studies using the affective neuroscience personality scales in the psychological and psychiatric sciences.Neurosci. Biobehav. Rev.125160–167. 10.1016/j.neubiorev.2021.02.019
37
PankseppJ. (1998). Affective Neuroscience: The Foundations of Human and Animal Emotions.Oxford: Oxford university press.
38
PankseppJ. (2004). Textbook of Biological Psychiatry.Hoboken, NJ: John Wiley & Sons.
39
PankseppJ. (2011). The basic emotional circuits of mammalian brains: do animals have affective lives?Neurosci. Biobehav. Rev.351791–1804. 10.1016/j.neubiorev.2011.08.003
40
PankseppJ. (2012). What is an emotional feeling? Lessons about affective origins from cross-species neuroscience.Motiv. Emot.364–15.
41
PankseppJ.BivenL. (2012). The Archaeology of Mind: Neuroevolutionary Origins of Human Emotions.New York, NY: WW Norton & Company.
42
PankseppJ.WattD. (2011). What is basic about basic emotions? Lasting lessons from affective neuroscience.Emot. Rev.3387–396. 10.1177/1754073911410741
43
PedersenG.SelsbakkJ. M.TheresaW.SigmundK. (2014). Testing different versions of the affective neuroscience personality scales in a clinical sample.PLoS One9:e109394. 10.1371/journal.pone.0109394
44
PingaultJ.-B.FalissardB.CôtéS.BerthozS. (2012). A new approach of personality and psychiatric disorders: a short version of the affective neuroscience personality scales.PLoS One7:e41489. 10.1371/journal.pone.0041489
45
ReuterM.HenningJ. (2015). Affective Neuroscience Personality Scales (ANPS). German Version.Giessen: University of Giessen. Unpublished manuscript.
46
RobinsonT. E.BerridgeK. C. (2000). The psychology and neurobiology of addiction: an incentive-sensitization view. An incentive–sensitization view.Addiction95Suppl 2, S91–S117. 10.1080/09652140050111681
47
RokachA. (2019). The effect of psychological conditions on sexuality: a review.Psychol. Psychother. Res. Study2259–266. 10.31031/PPRS.2019.02.000534
48
SchmidtS.StraussB.HögerD.BrählerE. (2004). The Adult Attachment Scale (AAS)-psychometric evaluation and normation of the German version.Psychother. Psychosom. Med. Psychol.54375–382. 10.1055/s-2003-815000
49
SnellW. E.FisherT. D.WaltersA. S. (1993). The multidimensional sexuality questionnaire: an objective self-report measure of psychological tendencies associated with human sexuality.Ann. Sex Res.627–55. 10.1007/BF00849744
50
SolmsM.TurnbullO. (2002). The Brain and the Inner World: An Introduction to the Neuroscience of Subjective Experience.London: Karnac Books.
51
SolmsM.TurnbullO. H. (2011). What is neuropsychoanalysis?Neuropsychoanalysis13133–145. 10.1080/15294145.2011.10773670
52
SpectorI. P.CareyM. P.SteinbergL. (1996). The sexual desire inventory: development, factor structure, and evidence of reliability.J. Sex Marital Ther.22175–190. 10.1080/00926239608414655
53
SpitzerC.HammerS.LöweB.GrabeH. J.BarnowS.RoseM.et al (2011). Die Kurzform des Brief Symptom Inventory (BSI −18): erste Befunde zu den psychometrischen Kennwerten der deutschen Version. Erste Befunde zu den psychometrischen Kennwerten der deutschen Version [The short version of the Brief Symptom Inventory (BSI −18): preliminary psychometric properties of the German translation].Fortschr. Neurol. Psychiatr.79517–523. 10.1055/s-0031-1281602
54
van der WesthuizenD.SolmsM. (2015). Social dominance and the affective neuroscience personality scales.Conscious Cogn.3390–111. 10.1016/j.concog.2014.12.005
55
WiersmaW. (2013). The validity of surveys: online and offline.Oxford Internet Inst.18321–340.
Summary
Keywords
LUST, questionnaire development, factor analysis, primary emotions, Affective Neuroscience
Citation
Fuchshuber J, Jauk E, Hiebler-Ragger M and Unterrainer HF (2022) The Affective Neuroscience of Sexuality: Development of a LUST Scale. Front. Hum. Neurosci. 16:853706. doi: 10.3389/fnhum.2022.853706
Received
12 January 2022
Accepted
07 February 2022
Published
28 February 2022
Volume
16 - 2022
Edited by
Christoph Mathys, Aarhus University, Denmark
Reviewed by
Andrea Clarici, University of Trieste, Italy; Geir Pedersen, Oslo University Hospital, Norway
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© 2022 Fuchshuber, Jauk, Hiebler-Ragger and Unterrainer.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jürgen Fuchshuber, a00913689@unet.univie.ac.atHuman Friedrich Unterrainer, human.unterrainer@univie.ac.at
This article was submitted to Cognitive Neuroscience, a section of the journal Frontiers in Human Neuroscience
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