Home Social Sciences On Panksepp’s Primary Emotional Systems, Steger’s Meaning in Life and Diener’s Satisfaction with Life: A Study Attempt from India
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On Panksepp’s Primary Emotional Systems, Steger’s Meaning in Life and Diener’s Satisfaction with Life: A Study Attempt from India

  • Christian Montag EMAIL logo , Yasmin Nadaf , Kenneth L. Davis and Shanmukh Vasant Kamble
Published/Copyright: May 12, 2025

Abstract

The present study investigates satisfaction with life in the context of Panksepp’s primary emotional systems derived from affective neuroscience theory in a sample of n = 225 study participants (study 1) and a sample of n = 399 study participants (study 2). Of note, participants of the present study stem from a less studied population, namely, India. All participants filled in inventories to assess individual differences in primary emotional systems, meaning in life (search/presence) and satisfaction with life. In line with the preregistration, we observed inverse associations between higher FEAR/SADNESS and lower satisfaction with life in both samples. As also a meaning in life measure was administered, mediation models with meaning in life’s facets search for vs presence of could be tested. We observed that presence of meaning in life was a partial mediator for associations between FEAR and satisfaction with life in both samples. In other words, higher FEAR expressions might in part result in lower presence of meaning in life giving way to lower satisfaction with life. Of note, the present work is of cross-sectional nature and causality cannot be implied (only assumed against a theoretical framework provided in this work).

1 Introduction

Jaak Panksepp is known as the founder of affective neuroscience. The research area of affective neuroscience aims to shed light on the neurobiological basis of emotions in mammalian beings including humans (Davis & Montag, 2018). Panksepp’s work not only inspired neuroscientists but also psychologists to better understand the emotional nature of being human (Montag et al., 2021). Via methods such as electrical brain stimulation of phylogenetically old brain areas, Panksepp postulated that seven primary emotional systems have been homologously conserved in the mammalian brain (Panksepp, 1998, 2011). In detail, Panksepp carved out four pleasantly experienced primary emotional systems called SEEKING, LUST, CARE and PLAY. On the dark side of emotions, he observed the three negative primary emotional systems called FEAR, SADNESS and ANGER. Please note that these terms are written in upper case to not confound them with same sounding terminology in the scientific literature.

According to Panksepp’s affective neuroscience theory, primary emotional systems have been conserved across the mammalian brain as they bear evolutionary advantages for our species. For instance, arousing the FEAR system goes along with action patterns supporting the mammal getting out of the danger zone or to fight for one’s own life (Mobbs et al., 2007). Arousal of the SADNESS system can be stimulated by separation distress (Panksepp et al., 1978) and represents a natural response to the dangerous state of being alone vs in the safe space of a beloved group (seen from an evolutionary perspective). Our brain is hard-wired for social interactions and permanent absence of social experience can result in psychic pain (Panksepp, 2003; Tomova et al., 2021).

Panksepp’s theory is also of importance for personality psychologists trying to understand individual differences in human nature. In this context, it has been put forward that individual differences in brain structure and function underlying Pankseppian primary emotional systems might pave the way for human personality (Davis et al., 2003; Montag & Panksepp, 2017). Hence, not only the immediate arousal following stimulation of the seven primary emotional systems is of interest to be studied but also the more tonic activation patterns of these neural circuitries need to be considered, because they result in emotional traits (rather stable emotional tendencies of an individual). In line with this a meta-analysis showed that Panksepp’s primary emotional systems as assessed via the self-report inventory called Affective Neuroscience Personality Scales (ANPS) go along with meaningful associations with the lexically derived Big Five models of personality (Marengo et al., 2021). For instance, long lasting higher FEAR and SADNESS activities might represent the neuroanatomic bottom-up drivers of Big Five’s neuroticism dimension.

Panksepp’s theory is also of interest for clinical-oriented psychologists. The basic idea Panksepp put forward is that imbalances in primary emotional systems can pave the way for psychopathologies such as depression (Panksepp, 2006). Depression for instance would be characterized by an underactive SEEKING system (low motivation) and a high SADNESS system (prolonged social separation distress) (Montag et al., 2017, 2022). For deeper discussions on how depression relates to primary emotional systems, please see the following overview works (Panksepp & Watt, 2011; Watt, 2023).

For the present research, we chose to study life satisfaction, a topic belonging to the field of positive psychology, in the context of primary emotional systems. Of interest for our study, a recent work suggested that in particular, the negative primary emotional systems of FEAR and SADNESS were linked to lower life satisfaction as assessed with Ed Diener’s classic inventory (Diener et al., 1985) demonstrating that activity of these brain systems might undermine well-being (Davis & Montag, 2024). Insights of this study were based on two international samples (without assessing from which countries study participants actually came). Against the background that research using the ANPS to our knowledge is lacking from India (Montag et al., 2021), and against the background of the well-known problems arising from research basing insights on WEIRD samples (Henrich et al., 2010), the aim of the present study is to replicate the negative association between FEAR/SADNESS and satisfaction with life in a sample from India. Further, the present study aimed to shed additional light on the association between higher negative primary emotional system levels and lower life satisfaction. For this, the concept of meaning in life was assessed. According to Steger, meaning in life can be assessed with the “search” and “presence” facets (Steger et al., 2006). Whereas search for meaning in life has been associated with lower well-being, presence of meaning in life was associated with higher well-being (Steger & Kashdan, 2007). As a consequence, we expect that more negative trait emotionality (FEAR/SADNESS) might result in lower presence of meaning in life, which undermines well-being. FEAR and SADNESS might also be associated with more searching for meaning in life, which is linked to lower well-being. The hypotheses of the present study were also preregistered at the Open Science Framework before data collection: https://osf.io/jxdp9. Please note that we initially planned to investigate one sample. Due to some surprising findings we needed to back up our observation with a second data collection, whereas findings from this data collection are also presented.

2 Methods (I)

2.1 Participants and Data Cleaning Strategy

A total of N = 465 participants were recruited in India. All participants provided informed e-consent and agreed that their anonymous data can be shared. Recruitment was done via universities and word of mouth. In the preregistration, we mentioned that we aimed to recruit a minimum number of about 300 participants to ensure that we would have after data cleaning around n = 250 participants, because it has been shown that around this number correlations stabilize (Schönbrodt & Perugini, 2013). The data cleaning process led to a sample size reduction with a final sample of 225 participants. This unfortunately falls slightly short of the aimed 250 participants, although we recruited a much larger sample than the initially planned 300.

Data cleaning process: We followed careful data cleaning procedures for age (below 18 and 100 years or older participants were excluded). Further, we cleaned for non-proficiency in English language, because the study was carried out in English language online. The data collected are part of an overarching data collection to be relevant for a series of studies (different preregistrations at the Open Science Framework). Therefore, we cleaned data not only for careless responding in the context of ANPS and meaning in life questionnaire (same response across all items), but also for a couple of other questionnaires (not of relevance for the present work), where inverted items were also applied (and were therefore eligible for careless responding analysis), and considered also one attention check item. This said, some participants still have a (relatively) high number of same consecutive answers on the ANPS. We checked what happens to the correlations if the more extreme cases regarding consecutive answers have been filtered out, but could not see large changes (also in sample 2).

The final sample 1 (n = 225) consisted of 58 males (25.8%) and 167 females (74.2%) with a mean age of 22.90 years (SD = 5.50). A total of 221 participants (98.2%) of the complete sample 1 reported to be resident in India and 220 participants (97.8%) reported being born in India. The following education levels were reported: high school graduate = 24%, some college = 6.7%, Bachelor’s degree = 40%, Master’s degree = 24.4%, Doctoral degree = 4.9%.

2.2 Questionnaires

Three questionnaires were investigated in the present work. First, the ANPS 3.1. were administered in English language in the present work (Montag et al., 2021). The ANPS 3.1. assesses six primary emotional systems according to Panksepp’s work being named SEEKING, PLAY, CARE (positive emotions) and FEAR, SADNESS, ANGER (negative emotions), each with 14 items. The scale also comprises a spirituality dimension assessed with 12 items. In line with the preregistration only the FEAR/SADNESS dimensions were investigated in the present work. Internal consistencies were mostly satisfying (SEEKING: α = 0.64; FEAR: α = 0.74; CARE: α = 0.70; ANGER: α = 0.72; PLAY: α = 0.71; SADNESS: α = 0.68). The n = 112 items of the ANPS 3.1. were answered with a six Likert scale ranging from 1 = strongly disagree to 6 = strongly agree.

Second, the meaning in life questionnaires was administered in English language as presented in the original work (Steger et al., 2006). The questionnaire consists of ten items being answered with a seven Likert scale ranging from 1 = absolutely untrue to 7 = absolutely true. Internal consistencies of the two meaning in life facets were satisfying with Presence (α = 0.79) and Search (α = 0.80). Higher scores mean either more presence of meaning in life or more search for meaning in life.

Finally, the satisfaction with life scale by Diener et al. was administered. It consists of five items being answered with a seven Likert scale ranging from 1 = strongly disagree to 7 = strongly agree. Internal consistencies were satisfying (α = 0.78). Higher scores indicate more satisfaction with life.

2.3 Analysis Strategy

In the preregistration at the Open Science Framework (OSF) (https://osf.io/jxdp9), it was mentioned that aside from correlational analysis, mediation models would be tested with FEAR/SADNESS being the “predictor” variables, satisfaction with life the “outcome” variable and search/presence of meaning in life the “mediator” variable. Please note that the used terminology should not imply causality given the cross-sectional character of the present study.

Parametric tests were chosen for the analysis of this study (Pearson correlations), because skewness and kurtosis analysis revealed values for all questionnaire measures (ANPS, satisfaction with life scale [SWLS] and Meaning in Life) between –2 and +2 in both samples. Given the preregistered hypotheses, we do not think that the main findings (FEAR/SADNESS, meaning in life, SWLS associations) need to be controlled for multiple testing. If we would go for Bonferroni multiple testing, we could, for instance, propose to take 6 primary emotional traits by 3 well-being variables resulting in 18 conducted tests. The value of p to be reached would then be 0.003. For associations between FEAR and SWLS/Search for meaning in life and those between SADNESS and SWLS/Search for meaning in life, findings would still be visible after this very strict correction mode in both samples.

The data analysis was completed by presenting in the beginning of the results both descriptive statistics and associations between each scale with age/gender, which were also controlled in the mediation models (Note: Regarding associations between age and the measures, we mention that age was deviating strongly from a normal distribution. For reasons of stringency, we stick to Pearson correlations here and mention that own analyses can be conducted with openly available data: https://osf.io/3yn6h/files/).

The analyses were conducted with the Jamovi package 2.4.8.0. The mediation model was carried within Jamovi with the MedMod-plugin.

3 Results (I)

In Table 1, the descriptive statistics of assessment data for sample 1 are presented. We further present the gender analysis in Tables S1 and S2 in the Supplementary Material. Females, in particular, showed higher SADNESS scores than males (Cohen’s d = −0.83). Higher age among others was associated with lower FEAR (r = −0.29, p < 0.001) and lower SADNESS (r = −0.24, p < 0.001). Furthermore, age was positively associated with more satisfaction with life (r = 0.18, p = 0.009), as shown in Table 2.

Table 1

Descriptive statistics of sample 1

N Mean value Median SD Minimum Maximum
SEEKING 225 4.05 4.00 0.512 2.57 5.50
FEAR 225 3.85 3.86 0.685 2.29 5.86
CARE 225 4.24 4.29 0.622 2.21 5.93
ANGER 225 3.68 3.57 0.668 1.93 5.86
PLAY 225 3.95 3.93 0.613 2.21 5.64
SAD 225 3.98 3.93 0.657 2.57 5.86
SWLS 225 22.95 24.00 5.962 6.00 35.00
Presence 225 25.53 26.00 5.393 6.00 35.00
Search 225 26.65 27.00 5.532 7.00 35.00
Age 225 22.85 21 5.503 18 51

SWLS: Satisfaction with life scale; Presence: Presence of meaning in life; Search: Search for meaning in life.

Table 2

Correlations of sample 1 describing associations between ANPS, meaning in life and satisfaction with life

SEEKING FEAR CARE ANGER PLAY SADNESS SWLS Presence Search Age
SEEKING Pearson’s r
p-value
FEAR Pearson’s r 0.040
p-value 0.546
CARE Pearson’s r 0.348*** 0.316***
p-value <0.001 <0.001
ANGER Pearson’s r 0.038 0.391*** 0.095
p-value 0.570 <0.001 0.156
PLAY Pearson’s r 0.418*** 0.066 0.389*** 0.036
p-value <0.001 0.325 <0.001 0.587
SADNESS Pearson’s r 0.124 0.710*** 0.487*** 0.424*** 0.144*
p-value 0.064 <0.001 <0.001 <0.001 0.030
SWLS Pearson’s r 0.116 −0.359*** −0.133* −0.230*** −0.082 −0.358***
p-value 0.083 <0.001 0.046 <0.001 0.223 <0.001
Presence Pearson’s r 0.169* −0.310*** 0.074 −0.282*** 0.097 −0.314*** 0.457***
p-value 0.011 <0.001 0.270 <0.001 0.149 <0.001 <0.001
Search Pearson’s r 0.048 0.198** 0.143* 0.056 −0.042 0.125 −0.081 0.021
p-value 0.475 0.003 0.032 0.403 0.527 0.061 0.229 0.754
Age Pearson’s r −0.005 −0.288*** −0.036 −0.190** −0.047 −0.236*** 0.175** 0.123 −0.012
p-value 0.944 <0.001 0.587 0.004 0.484 <0.001 0.009 0.066 0.859

Note: *p < 0.05, **p < 0.01, ***p < 0.001; SWLS: Satisfaction with life scale; Presence: Presence of meaning in life; Search: Search for meaning in life.

Correlations presented in Table 2 showed that (i) FEAR/SADNESS robustly correlate negatively with satisfaction with life, (ii) FEAR/SADNESS robustly correlate negatively with presence of meaning in life, and (iii) FEAR/SADNESS correlate to a somewhat smaller extent positively with search for meaning in life. Satisfaction with life robustly correlates positively with the presence of meaning in life, and only weakly and negatively with search for meaning in life.

In line with our preregistration (see the abovementioned OSF link), we also conducted mediational analysis: The mediation model 1 investigated links between FEAR and life satisfaction and to what extent this would be mediated by the presence/search for meaning in life. As one can see from Table 3, a partial mediation model could be observed with presence being a (partial) mediator between FEAR and satisfaction with life. In other words, higher scores of FEAR went along with lower presence of meaning in life, which then in turn is associated with lower satisfaction with life.

Table 3

Investigation of the association between FEAR and satisfaction with life taking into account the mediator presence of/search for meaning in life in sample 1

Type Effect Estimate SE 95% CI (a) β z p
Lower Upper
Indirect FEAR ⇒ Presence ⇒ SWLS −1.0406 0.2680 −1.566 −0.5153 −0.11962 −3.883 <0.001
FEAR ⇒ Search ⇒ SWLS −0.0738 0.1040 −0.278 0.1301 −0.00848 −0.709 0.478
Component FEAR ⇒ Presence −2.4401 0.4987 −3.417 −1.4627 −0.31013 −4.893 <0.001
Presence ⇒ SWLS 0.4264 0.0668 0.295 0.5574 0.38571 6.380 <0.001
FEAR ⇒ Search 1.6006 0.5274 0.567 2.6343 0.19831 3.035 0.002
Search ⇒ SWLS −0.0461 0.0632 −0.170 0.0778 −0.04277 −0.729 0.466
Direct FEAR ⇒ SWLS −2.0116 0.5364 −3.063 −0.9603 −0.23125 −3.750 <0.001
Total FEAR ⇒ SWLS −3.1260 0.5424 −4.189 −2.0629 −0.35936 −5.763 <0.001

Notes: Confidence intervals (CIs) computed with method: Standard (Delta method). Betas are completely standardized effect sizes.

Mediation model 2 investigated links between SADNESS and life satisfaction (Table 4) and to what extent this would be mediated by presence/search for meaning in life. As with model 1, a partial mediation was observed only with the presence of meaning in life and not the search of meaning in life.

Table 4

Investigation of the association between SADNESS and satisfaction with life taking into account the mediator presence of/search for meaning in life in sample 1

Type Effect Estimate SE 95% CI (a) β z p
Lower Upper
Indirect SADNESS ⇒ Presence ⇒ SWLS −1.0989 0.2807 −1.6490 −0.5488 −0.12103 −3.915 <0.001
SADNESS ⇒ Search ⇒ SWLS −0.0680 0.0748 −0.2146 0.0786 −0.00749 −0.910 0.363
Component SADNESS ⇒ Presence −2.5757 0.5199 −3.5946 −1.5568 −0.31364 −4.955 <0.001
Presence ⇒ SWLS 0.4266 0.0668 0.2957 0.5575 0.38587 6.389 <0.001
SADNESS ⇒ Search 1.0520 0.5572 −0.0402 2.1442 0.12487 1.888 0.059
Search ⇒ SWLS −0.0647 0.0623 −0.1868 0.0574 −0.06000 −1.038 0.299
Direct SADNESS ⇒ SWLS −2.0819 0.5526 −3.1649 −0.9989 −0.22929 −3.768 <0.001
Total SADNESS ⇒ SWLS −3.2488 0.5665 −4.3591 −2.1385 −0.35781 −5.735 <0.001

Notes: Confidence intervals computed with method: Standard (Delta method). Betas are completely standardized effect sizes.

Although these findings are straightforward and in line with our hypothesis, some surprises occurred in the dataset. For instance, in contrast to robust positive associations observed recently between PLAY and higher satisfaction with life (Davis & Montag, 2024), we basically observed null correlations in this sample. This led us to investigate also associations between PLAY and life satisfaction on PLAY item level. Here we were surprised to see that both inverted and normally poled items mapped in parts positively on life satisfaction (from the logic, this should be rather not the case). Without the ANPS being applied before in India and also taking into account that English might be difficult for Indian participants to understand (although we asked for English proficiency; see data cleaning process), we saw the need to recruit a second sample to seek replication of the main findings mentioned above and also to see if the null correlation between PLAY and satisfaction with life would appear again (recruitment of a second sample is a deviation from the preregistration process). Moreover, we were also surprised to see that the presence of meaning in life and search for meaning in life were positively associated, whereas a recent study presenting a Hindi version observed negative associations (Singh et al., 2018) – as observed in the Western literature (Montag et al., 2023). Another study also investigated the meaning in life questionnaire in an Indian sample, but worked not with a two-dimensional approach but a single meaning in life score (Deb et al., 2020). Therefore, their findings cannot be compared with our work.

We present the methods and results of the second recruited sample.

4 Method (II)

4.1 Participants

An initial sample of N = 463 participants were recruited for the second sample. All participants provided informed e-consent and agreed that their anonymous data can be shared. Same data cleaning steps were run as described for the first sample. This led to a final sample of n = 399 participants. This sample consisted of 103 males (25.8%) and 296 females (74.2%) with a mean age of 21.04 years (SD = 3.04). A total of 394 participants (98.7%) of the complete sample reported to be resident in India and 393 participants (98.5%) mentioned to be born in India. The following education levels were reported (no education: 0.3%, high school graduate = 37.1%, some college = 9.3%, Bachelor’s degree = 39.9%, Master’s degree = 8.8%, Doctoral degree = 5.0%; due to a rounding error this adds not up to 100%).

4.2 Questionnaires

Same questionnaires as in the aforementioned sample were investigated. Internal consistencies are good for the satisfaction with life scale (α = 0.74) and the meaning in life questionnaire (Presence: α = 0.73; Search: α = 0.77). For the ANPS, they were only in parts acceptable: SEEKING: α = 0.55, FEAR: α = 0.68, CARE: α = 0.71, ANGER: α = 0.65, PLAY: α = 0.65, and SADNESS: α = 0.63.

4.3 Statistical Analyses

Same operations as in sample 1 were carried out.

5 Results (II)

Tables 58 (plus ST3 and ST4 in the supplement) depict the same analyses, which were operated in line with the procedures described for sample 1. For reasons of brevity, we only mention the most important observations.

Table 5

Descriptive statistics of sample 2

N Mean Median SD Minimum Maximum
SEEKING 399 3.98 3.93 0.451 1.86 5.71
FEAR 399 3.73 3.64 0.567 2.43 5.36
CARE 399 4.18 4.14 0.592 2.50 5.86
ANGER 399 3.58 3.50 0.570 2.00 5.50
PLAY 399 3.87 3.86 0.536 2.00 5.79
SADNESS 399 3.83 3.71 0.558 2.64 5.79
SWLS 399 23.86 25.00 5.387 6.00 34.00
Presence 399 25.73 26.00 5.208 9.00 35.00
Search 399 26.35 27.00 5.402 5.00 35.00
Age 399 21.39 21 3.042 18 51

SWLS: Satisfaction with life scale; Presence: Presence of meaning in life; Search: Search for meaning in life.

Table 6

Correlations of sample 2 describing associations between ANPS, meaning in life and satisfaction with life

SEEKING FEAR CARE ANGER PLAY SADNESS SWLS Search Presence Age
SEEKING Pearson’s r
p-value
FEAR Pearson’s r 0.093
p-value 0.062
CARE Pearson’s r 0.436*** 0.360***
p-value <0.001 <0.001
ANGER Pearson’s r 0.094 0.410*** 0.145**
p-value 0.061 <0.001 0.004
PLAY Pearson’s r 0.462*** 0.129** 0.453*** 0.110*
p-value <0.001 0.010 <0.001 0.028
SADNESS Pearson’s r 0.153** 0.647*** 0.428*** 0.408*** 0.175***
p-value 0.002 <0.001 <0.001 <0.001 <0.001
SWLS Pearson’s r 0.040 −0.236*** −0.085 −0.261*** −0.029 −0.216***
p-value 0.422 <0.001 0.090 <0.001 0.558 <0.001
Search Pearson’s r 0.224*** 0.271*** 0.269*** 0.115* 0.155** 0.261*** 0.083
p-value <0.001 <0.001 <0.001 0.022 0.002 <0.001 0.099
Presence Pearson’s r 0.237*** −0.123* 0.153** −0.143** 0.142** −0.057 0.459*** 0.259***
p-value <0.001 0.014 0.002 0.004 0.004 0.255 <0.001 <0.001
Age Pearson’s r 0.013 −0.037 −0.125* −0.005 −0.131** −0.023 0.058 −0.079 0.043
p-value 0.793 0.459 0.012 0.923 0.009 0.646 0.244 0.114 0.392

Note: *p < 0.05, **p < 0.01, ***p < 0.001; SWLS: Satisfaction with life scale; Presence: Presence of meaning in life; Search: Search for meaning in life.

Table 7

Investigation of the association between FEAR and satisfaction with life taking into account the mediator presence of/search for meaning in life in sample 2

Type Effect Estimate SE 95% CI (a) β z p
Lower Upper
Indirect ANPS__FEAR ⇒ presence ⇒ SWLS_sum −0.5042 0.2099 −0.9157 −0.0928 −0.05310 −2.402 0.016
ANPS__FEAR ⇒ search ⇒ SWLS_sum 0.0585 0.1224 −0.1815 0.2984 0.00616 0.478 0.633
Component ANPS__FEAR ⇒ presence −1.1337 0.4561 −2.0278 −0.2397 −0.12348 −2.485 0.013
Presence ⇒ SWLS_sum 0.4448 0.0476 0.3514 0.5381 0.43003 9.335 <0.001
ANPS__FEAR ⇒ search 2.5762 0.4590 1.6766 3.4758 0.27051 5.613 <0.001
Search ⇒ SWLS_sum 0.0227 0.0474 −0.0701 0.1155 0.02276 0.479 0.632
Direct ANPS__FEAR ⇒ SWLS_sum −1.7995 0.4389 −2.6598 −0.9393 −0.18950 −4.100 <0.001
Total ANPS__FEAR ⇒ SWLS_sum −2.2453 0.4625 −3.1518 −1.3388 −0.23644 −4.855 <0.001

Notes: Confidence intervals computed with method: Standard (Delta method). Betas are completely standardized effect sizes.

Table 8

Investigation of the association between SADNESS and satisfaction with life taking into account the mediator presence of/search for meaning in life in sample 2

Type Effect Estimate SE 95% CI (a) β z p
Lower Upper
Indirect ANPS__SAD ⇒ presence ⇒ SWLS_sum −0.2446 0.2155 −0.6669 0.178 −0.02532 −1.135 0.256
ANPS__SAD ⇒ search ⇒ SWLS_sum 0.0484 0.1186 −0.1840 0.281 0.00501 0.408 0.683
Component ANPS__SAD ⇒ presence −0.5337 0.4669 −1.4488 0.381 −0.05713 −1.143 0.253
Presence ⇒ SWLS_sum 0.4583 0.0469 0.3664 0.550 0.44316 9.768 <0.001
ANPS__SAD ⇒ search 2.5276 0.4683 1.6098 3.445 0.26086 5.398 <0.001
Search ⇒ SWLS_sum 0.0192 0.0468 −0.0725 0.111 0.01921 0.409 0.682
Direct ANPS__SAD ⇒ SWLS_sum −1.8928 0.4386 −2.7524 −1.033 −0.19590 −4.316 <0.001
Total ANPS__SAD ⇒ SWLS_sum −2.0890 0.4729 −3.0158 −1.162 −0.21620 −4.418 <0.001

Notes: Confidence intervals computed with method: Standard (Delta method). Betas are completely standardized effect sizes.

Please note that both datasets are openly available for further investigation possibilities via the OSF (see link above). We will focus here on the replication of the most important insights. First, we observed that higher FEAR/SADNESS again went along with lower life satisfaction. This seems to be a robust observation across samples (and fits well with the literature: Davis & Montag, 2024). Further, we could replicate that the association between FEAR and lower satisfaction with life was partially mediated by the presence of meaning in life. This mediation model for SADNESS and satisfaction with life could not be replicated. SADNESS interestingly was not significantly associated with the presence of life in the second sample.

6 Discussion

The aim of the present study was to replicate associations between higher FEAR/SADNESS and lower life satisfaction as recently investigated by Davis and Montag (2024). Indeed, we could again find these associations. For SADNESS associations were comparable to the earlier work (here: −0.36), but effect sizes were a bit weaker for the FEAR-SWLS association (r = −0.36). In Davis and Montag’s work: sample 1 = FEAR: −0.50/SADNESS: −0.39 and sample 2 = FEAR: −0.45/SADNESS = −0.34. In our second sample, same associations were also visible again, but effect sizes were overall a bit lower than in sample 1. Overall, the inverse relationship between the FEAR/SADNESS primary emotions as measured by the ANPS and lower satisfaction with life as measured by the SWLS seems to be robust.

The present study adds to the literature because data are presented from a less studied population (India) and as also presence vs search for meaning in life were tested as potential mediators between the aforementioned variables. In the context of the mediation models, we observed for sample 1 that both for the FEAR-SWLS and SADNESS-SWLS associations, only presence of meaning in life was a partial mediator. The second sample investigation supports again the validity of this FEAR-SWLS mediation model, but not the observations regarding the SADNESS-SWLS mediation model. As a consequence, the latter mediation model needs more attention in future works. This and some of the other results may have to do with the fact that data are presented from an understudied population (India), which provided some additional surprising findings. For instance, PLAY was not positively associated with satisfaction with life in either sample from India, which is different from what has been observed recently in two other samples (Davis & Montag, 2024). Further, presence of meaning in life and search for meaning in life were positively associated in sample 2, which is in contrast to what has been observed in both a Hindi speaking sample (Singh et al., 2018) and a German sample (Montag et al., 2023). In the original works by Steger, the same observations have been made (Steger et al., 2006; Steger & Kashdan, 2007). We simply cannot carve out with the present study, if these contrasting observations go back to cultural aspects of the present investigated samples or if English or language barriers play a role here (please note that we only included people in the present sample who mentioned to be proficient in English language). We also mention that we observed a relatively large number of participants answering varying numbers of consecutive items with same answers on the ANPS (see also other inventories), whereas it is not clear due to what reason this happened (of note: the most extreme cases having same answers across the complete ANPS and meaning in life questionnaire were filtered out before running the presented analyses and results did also not change much with filtering out the next “severe” group of participants with having such answer patterns on the ANPS – but these were post hoc analyses, which we only want to shortly mention and readers can investigate the data themselves). Against this background, the present research should be seen as a first attempt to study the presented research question. But it is clear, that questions remain regarding some findings, which cannot be answered. In this light, our study findings need to be seen as very preliminary. We invite other authors to revisit our findings – also by studying our data, being openly available (also of interest to take a closer look at the associations within the ANPS).

Some more thoughts on the positive associations between the presence of meaning in life and search for meaning in life in sample 2. What does this mean for the present samples 2? Do people who search for meaning in life have a higher chance to find meaning in life (and then actually find it)? Or does reaching meaning in life result in further search for additional meaningful aspects in life, e.g., also resulting in further self-actualization? As mentioned, the literature is inconsistent regarding the directions of associations (positive or negative) and also it must be further carved out what causality between the variables look like, which cannot be done here.

Although our data are of cross-sectional nature not allowing to infer causality (see also last point), theoretically certain stable expressions of primary emotional systems (as assessed here via the ANPS) could pave the way for lower presence of meaning in life, which then results in overall lower satisfaction with life. Search for meaning in life turned out not to be a mediator, perhaps as search for meaning in life is not robustly associated with satisfaction in life in our samples. In other words, presence of meaning in life is more relevant for understanding satisfaction with life than search for meaning in life. This comes not as a surprise, because earlier studies also observed that search for meaning in life is rather negatively associated with satisfaction with life (Steger & Kashdan, 2007).

The present study is to our knowledge also the first applying the ANPS 3.1. (or any ANPS-scale) in two samples stemming from India. India is very different in terms of its cultural background compared to often studied Western samples. In order to ensure that findings replicate across cultures beyond WEIRD samples (Henrich et al., 2010), research projects such as the present are important. This is in particular of importance regarding studies from India, because the cultural distance to the often studied samples from the US is quite large, and also some cultural distance to China has been reported (Muthukrishna et al., 2020). Further, we mention that the present study falls into the field of personality psychology. The term personality might be understood in different ways in traditional Indian culture compared to Western culture. As author Srivastava puts it (Srivastava, 2012): “In Indian psychological thought the term ‘personality’ has not been used in strict sense, instead the concept of Swabhaava referred in scriptures, covers all aspects of personality. Swabhaava is the essential quality” (p. 89). The study also describes different personality taxonomies which have been grounded in Ayurveda. In sum, these classic Indian views on personality might also shape findings such as of this study. As we have not studied Indian personality taxonomies, this is speculative and would make an interesting future research endeavor.

Also, please note that it would be interesting to directly compare the levels of life satisfaction, meaning in life and primary emotional traits across cultures in future studies – so far this only has been done on single measure level such as with the SWLS (Jovanović et al., 2022).

Aside from the expected results presented on FEAR and its association with meaning in life/satisfaction with life variables, we made some unexpected observations: In particular, it was surprising that PLAY was not related to satisfaction with life in the Indian sample. The positive associations between the presence of meaning in life and search for meaning in life in sample 2 were also unexpected. All these warrant for further investigation.

7 Conclusion

The present study replicated that higher negative affect (FEAR and SADNESS) taken from a Pankseppian affective neuroscience background robustly associates with lower life satisfaction. This association was partly mediated by the presence of meaning in life in the first of the two samples.

  1. Funding information: Authors state no funding involved.

  2. Author contributions: C.M. designed the present study and wrote the first draft. Y.N. and S.V.K. collected the data in India. All authors including K.D. revised the article and agreed upon its final version.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: The present data is available via this link https://osf.io/3yn6h/files/.

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Received: 2024-12-04
Revised: 2025-04-17
Accepted: 2025-04-17
Published Online: 2025-05-12

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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