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Why Do Happy People Exercise More? The Role of Beliefs in the Psychosocial Benefits of Exercise

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  • 01.04.2025
  • Research Paper
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Abstract

Der Artikel untersucht die komplizierte Beziehung zwischen subjektivem Wohlbefinden und Bewegungsverhalten und konzentriert sich dabei auf die Vermittlerrolle von Überzeugungen über die Vorteile körperlicher Aktivität. Sie unterstreicht den Unterschied zwischen körperlichen und psychosozialen Vorteilen und argumentiert, dass glücklichere Menschen Bewegung eher als vorteilhaft für ihr allgemeines Wohlbefinden wahrnehmen, insbesondere im Hinblick auf emotionale, kognitive und soziale Vorteile. Die Studie präsentiert eine neue Skala, die Exercise Benefit Beliefs (EBB) Skala, die zwischen diesen beiden Arten von Nutzen unterscheidet und ihre Gültigkeit in verschiedenen Stichproben demonstriert. Anhand dreier empirischer Studien liefert der Artikel belastbare Beweise dafür, dass psychosoziale Nutzenvorstellungen eine wesentlichere Rolle bei der Vermittlung der Beziehung zwischen Glück und Bewegungsverhalten spielen als Überzeugungen über physischen Nutzen. Diese Erkenntnis unterstreicht die Bedeutung der Förderung des psychosozialen Nutzens von Bewegung zur Förderung körperlicher Aktivität, insbesondere bei Personen mit einem niedrigeren subjektiven Wohlbefinden. Der Artikel diskutiert auch die praktischen Implikationen dieser Ergebnisse für Mediziner und Forscher und legt nahe, dass kurze Denkanstöße, die auf Überzeugungen vom Nutzen der Bewegung abzielen, eine effektive Strategie zur Steigerung der Trainingsbeteiligung sein könnten.

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1007/s10902-025-00885-5.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

1 Introduction

“It is exercise alone that supports the spirits and keeps the mind in vigor.”
– Marcus Tullius Cicero.
The scientific literature provides extensive evidence of the myriad benefits of exercise (Penedo et al., 2005). Exercise not only safeguards physical well-being (Rebelo-Marques et al., 2018) but also promotes emotional (Smith & Merwin, 2021), cognitive (Mandolesi et al., 2018) and social well-being (Opstoel et al., 2020). In terms of physical well-being, regular exercise is beneficial for muscular strength (Platta et al., 2016) and the cardiovascular system (Nystoriak & Bhatnagar, 2018), to name a few. Concerning psychosocial well-being, exercise increases life satisfaction and positive emotions (Zhang & Chen, 2019) while decreasing negative emotions and stress (Smith & Merwin, 2021). In fact, health and psychology professionals have touted exercise as a highly effective skill for emotion regulation (Bernstein & McNally, 2018). Moreover, exercise confers significant cognitive benefits—including enhancements in memory (Roig et al., 2013), creativity (Rominger et al., 2022), attention, and academic performance (Spitzer & Hollmann, 2013). Last but not least, exercise enhances social well-being by fostering social interactions (Di Bartolomeo & Papa, 2019) and encouraging the exercise habits of close relationships (Darlow & Xu, 2011). In short, it can be argued that exercise is close to a panacea.
Yet, a significant portion of adults (27%) and adolescents (80%) globally fail to meet the minimum physical activity guidelines established by the World Health Organization (WHO, 2022). Even more striking is that those who could benefit the most—namely, unhappy individuals—often exercise the least. Existing studies suggest that individuals with lower levels of subjective well-being (SWB; Diener, 1984)—encompassing both cognitive (life satisfaction) and affective components (positive versus negative affect)—are less likely to engage in a range of health-promoting behaviors, including but not limited to exercise. For example, an analysis of data from 1.5 million people across 166 countries revealed that higher SWB is associated with increased exercise (Diener et al., 2018). Supporting this, findings from another large-scale survey of 2.5 million Americans identified positive affect and life satisfaction as key predictors of physical activity (Kushlev et al., 2020). Evidence from more fine-grained methods, such as experience sampling methods and accelerometer data, further demonstrates that higher SWB not only predicts current exercise habits but also correlates with future physical activity levels (Lathia et al., 2017). Moreover, longitudinal studies indicate that greater life satisfaction encourages sports participation over time (Frey & Gullo, 2021), while experimental research underscores the role of positive affect in fostering more favorable attitudes toward exercise (Catellier & Yang, 2013).
The disparity in exercise levels between happy and unhappy individuals poses the crucial yet elusive question of why this difference occurs (Steptoe, 2019; Zhang & Chen, 2019). While various factors could contribute to exercise behavior—such as differences in motivation (e.g., Ng et al., 2012), social support (Carron et al., 1996), or accessibility (Duncan et al., 2005)—the present work aims to address this inquiry by focusing on beliefs about exercise benefits. This focus is supported by existing theoretical and empirical studies that demonstrate that individuals who perceive greater benefits from exercise are more likely to form intentions to exercise and actually participate in exercise (Ajzen, 1985; Bandura, 1986; Becker & Maiman, 1975; Carpenter, 2010; Pender et al., 2006) and happiness can be an antecedent for these beliefs (e.g., Ajzen, 2011; Kavanagh & Bower, 1985). Building on this premise, the study proposes that beliefs about exercise benefits may account for the disparity in exercise levels between individuals with higher and lower SWB. More importantly, we argue that the difference in beliefs about exercise benefits between happier and less happy people would be larger in the psychosocial (i.e., exercise is beneficial for one’s mental and social health) than the physical benefits (i.e., exercise is beneficial for one’s physical health). Ultimately, we hypothesize that psychosocial benefits play a more substantial role than physical benefits in explaining the relationship between SWB and exercise.

2 Beliefs About Physical and Psychosocial Benefits of Exercise

Individuals hold beliefs about the benefits of exercise (hereafter, exercise benefit beliefs). Since informal notions about the world are not always aligned with facts (Furnham, 1988), some may disagree with certain scientifically confirmed benefits of exercise, while others may attribute even greater significance to these benefits. Exercise benefit beliefs consistently emerge as strong predictors of exercise behavior across various theoretical frameworks, despite variations in terminology (see Carpenter, 2010 for a review). For instance, the Theory of Planned Behavior (TPB) emphasizes “perceived benefits,” along with enjoyment and perceived control, as critical for shaping exercise intentions and behaviors (Ajzen, 1985). Similarly, the Social Cognitive Theory (SCT) highlights “expected outcomes” and self-efficacy as central to behavior change (Bandura, 1986). Beyond general behavior theories like TPB and SCT, health-specific models such as Health Promotion Model (HPM) and Health Belief Model (HBM) reinforce these ideas. The HPM identifies “perceived benefits” as a primary motivational factor alongside perceived barriers (Pender et al., 2006), while the HBM underscores the “perceived effectiveness of exercise” as a driver of physical activity (Becker & Maiman, 1975). Collectively, these models advocate that individuals with stronger exercise benefit beliefs are more likely to engage in regular physical activity. Based on this theoretical foundation, we propose that happier individuals perceive greater exercise benefit beliefs.
We take a further step by elucidating how exercise has been extensively studied for its multifaceted benefits, spanning both physical and psychosocial domains. Physical benefits encompass improved cardiovascular health (Nystoriak & Bhatnagar, 2018) and increased strength (Platta et al., 2016), while psychosocial benefits include enhanced mood (Smith & Merwin, 2021), better cognitive functions (Mandolesi et al., 2018), and improved social interactions (Opstoel et al., 2020). While existing research consistently underscores the importance of exercise benefit beliefs as a strong predictor of exercise behavior, studies did not yet clearly distinguish between physical and psychosocial dimensions of exercise benefits. To address this gap, the present study explicitly differentiates between these two dimensions in the context of exercise benefit beliefs. Physical benefit beliefs focus on tangible advantages, such as athletic performance and rehabilitation, while psychosocial benefit beliefs emphasize less tangible aspects, including emotional, cognitive, and social well-being. Existing scales, such as the Exercise Benefits/Barriers Scale (EBBS; Sechrist et al., 1987), grounded in the HPM, and the Multidimensional Outcome Expectations for Exercise Scale (MOEE; Wójcicki, 2009), rooted in the SCT, provide a foundation for this distinction. The EBBS identifies physical performance (e.g., increased muscle strength) and preventive health benefits (e.g., heart attack prevention), consistent with physical benefit beliefs, alongside psychological outlook (e.g., improved mental health), life enhancement (e.g., better work quality), and social interaction benefits (e.g., meeting new people), which align with psychosocial benefit beliefs. Similarly, the MOEE differentiates physical (e.g., increased muscle strength), social (e.g., improved social acceptance), and self-evaluative (e.g., enhanced mood) benefits, with the latter two resonating with psychosocial benefit beliefs. However, these scales do not explicitly categorize benefits in this manner.
Although previous research has not clearly differentiated between physical and psychosocial benefits in the context of exercise behavior, comparing the two factors offers not only conceptual but also empirical values. Empirical research suggests that individuals evaluate the psychosocial and physical benefits of exercise differently. On the one hand, individuals typically underestimate the emotional benefits of exercise (e.g., increased feelings of enjoyment) that they would experience after a workout (Ruby et al., 2011). Similarly, those with lower physical activity levels reported significantly weaker beliefs in the social benefits of exercise (e.g., building social interaction), with a mean score of 2.5 out of 4, compared to physical benefits, with a mean score of 3.25 (Lovell et al., 2010). On the other hand, empirical studies consistently demonstrate that emphasizing psychosocial benefits is more effective in promoting exercise intentions than focusing solely on physical outcomes (see Williamson et al., 2020 for a review). For example, highlighting the emotional benefits of exercise (e.g., improved mood) significantly boosts exercise intention, compared to physical benefits, particularly among less active individuals (Hevel et al., 2019).
Accordingly, even though direct empirical comparisons of the predictive power of these beliefs remain scarce, existing theoretical and empirical investigations suggest that psychosocial benefit beliefs may be stronger predictors of exercise intention and behavior. Physical benefits, despite being intuitive and widely acknowledged, may exert less variability in their motivational impact due to their universal acknowledgment. In contrast, psychosocial benefits, while being less tangible, are subject to greater individual differences in belief strength and salience. We lend this evidence to investigate how beliefs about psychosocial benefits, compared to physical benefits, more strongly inspire individuals’ motivation to engage in exercise.

3 Happiness and Beliefs About Exercise Benefits

How do happier people differ from less happy people in their physical and psychosocial benefit beliefs regarding exercise? The present research proposes that the gap between these groups stems from differences in exercise benefit beliefs, with a particularly pronounced disparity in psychosocial benefits. This proposition is grounded in theoretical frameworks and empirical evidence on how SWB influences distinct cognitive processing styles and behavioral tendencies between happier and less happy individuals.
From a theoretical standpoint, positive emotions—one of the key components of SWB—play a crucial role in shaping individuals’ cognitive and behavioral processes. The affect-as-information model posits that positive affect influences how individuals appraise situations, often acting as heuristic cues for interpretation (Schwarz & Clore, 1983). Exercise is likely no exception to this process. The distinct cognitive patterns of happier and less happy individuals likely shape their different interpretations of the same exercise activity. Happier individuals, for instance, employ exercise as a happiness-boosting behavior (Tkach & Lyubomirsky, 2006), suggesting that they view exercise not only as a means of improving physical health but also as a way to enhance emotional well-being.
The broaden-and-build model further elucidates how positive emotions expand individuals’ thought-action repertoires (Fredrickson, 1998, 2001). According to this model, happiness encourages exploratory behaviors that build enduring mental resources. This implies that positive emotions enable individuals to appreciate the broader, more nuanced aspects of behaviors by encouraging engagement in diverse activities, including exercise. For instance, happier individuals may seek to enhance their psychosocial well-being by exploring novel and diverse activities, including exercise, even if the psychosocial benefits are not immediately tangible. This intentional exploration may allow them to recognize the psychosocial benefits of exercise, leading them to adopt it as a routine. Accordingly, existing theories suggest that happier individuals could develop unique cognitive patterns when it comes to activities such as exercise, shaping their exercise benefit beliefs differently.
This idea is further supported by empirical studies demonstrating that SWB fosters distinct cognitive processes, which may permit happier individuals to recognize not only the physical benefits but also the psychosocial benefits of exercise. Individuals with higher levels of positive mood employ a global processing style (Isbell, 2004), meaning that they consider the long-term benefits of their experiences. For instance, people underestimate how much they enjoy exercise due to a myopic focus on the initial discomfort or unpleasantness of starting exercise (Ruby et al., 2011). In contrast, happy individuals, with their global processing style, may be better able to downplay the initial burdens associated with exercise, such as pre-workout inertia or physical discomfort during the activity; instead, they could emphasize the sense of accomplishment tied to physical improvements, the emotional uplift following exercise, or the strengthened social bonds resulting from group activities. This long-term perspective enables them to view exercise as a holistic contributor to their overall well-being.
Furthermore, individuals with greater levels of SWB believe that happiness is malleable and can be cultivated through effort. This belief is strongly associated with traits such as optimism, perceived personal control, and self-efficacy, all of which are closely linked to SWB (Lucas et al., 1996; Lyubomirsky et al., 2005; Van Tongeren & Burnette, 2018). Research also demonstrates that this belief motivates participation in happiness-promoting activities, such as physical exercise (Choi et al., 2021). Integrating these findings, it stands to reason that happier individuals who view happiness as something that can be intentionally developed are more likely to pursue activities they associate with enhancing their psychosocial well-being. Indeed, they are inclined to view exercise not merely as a physical activity but also as a strategic tool for cultivating psychosocial benefits (Tkach & Lyubomirsky, 2006). It is inferrable that their belief in the malleability of happiness may heighten their recognition of the psychosocial benefits of exercise, which enhances their motivation to engage in exercise.
The unique cognitive and behavioral mechanisms of happier individuals explain why they could hold not only physical but also psychosocial benefit beliefs more, contrasting with less happy people who might focus less on intangible outcomes. Thus, we propose that happier people believe in more exercise benefits, with the disparity between happier and less happy individuals being larger in psychosocial than physical benefits. Given the stronger relationship between psychosocial benefits and exercise behavior (e.g., Williamson et al., 2020), we can further speculate that psychosocial benefit beliefs more strongly mediate the relationship between happiness and exercise, compared to physical benefit beliefs.
Although previous research has consistently shown that SWB influences exercise benefit beliefs, some may argue that SWB is often conceptualized as an outcome of behavior. However, ample evidence suggests SWB can also function as an antecedent (Choi & Choi, 2017; Lyubomirsky et al., 2005). SWB predicts a range of proactive behaviors, including voting, saving, participating in social activities, and engaging in hedonic spending (Flavin & Keane, 2012; Guven, 2012; Sul et al., 2013; Zhong & Mitchell, 2012). SWB also contributes to the formation of beliefs, serving as a predictor. According to frameworks like the TPB and SCT, beliefs are central determinants of intention and behavior, and they are shaped by correlates of well-being, such as mood and affect. TPB posits that exercise benefit beliefs influence exercise intentions (Downs & Hausenblas, 2005; Godin & Kok, 1996); importantly, background factors play a critical role in shaping these beliefs. To illustrate, general mood, as a key background factor, can influence beliefs’ strength and evaluation, while affective states determine the accessibility of specific beliefs (Ajzen, 2011). Within this framework, SWB can influence beliefs, which in turn shape exercise intention. The SCT further champions this idea, demonstrating the impact of exercise benefit beliefs on behavior (see Beauchamp et al., 2019 for a review), with personal factors modulating this dynamic (e.g., Kavanagh & Bower, 1985). It indicates that personal factors like positive moods enhance exercise benefit beliefs, thereby reinforcing exercise behavior. This empirical and theoretical framework potentially advocates for our premise that happiness is a precursor to exercise benefit beliefs, ultimately impacting exercise intention and behavior.

4 The Present Study

This research intends to present and empirically test two core hypotheses. First, we hypothesize that happier individuals will exhibit stronger beliefs about both physical and psychosocial benefits of exercise, with a more pronounced effect of psychosocial benefit beliefs (Hypothesis 1). Second, we expect that exercise benefit beliefs mediate the relationship between happiness and exercise behavior, with a stronger indirect effect via psychosocial benefits than physical benefits (Hypothesis 2). Importantly, building on prior studies examining the relationship between various SWB indicators and exercise (e.g., Kushlev et al., 2020), this research defines happiness as SWB, encompassing both life satisfaction and affective well-being (Diener, 1984).
To test the two hypotheses, we aim to conduct three studies with diverse samples from the United States and South Korea (total N = 997), employing multiple methodologies. Study 1 develops a measurement tool to distinguish between psychosocial and physical benefit beliefs, testing Hypothesis 1. Study 2 validates this tool in a separate sample and examines its connection with exercise behaviors, addressing both Hypotheses 1 and 2. Finally, Study 3 replicates the findings by investigating perceived exercise effectiveness and choices within more realistic, scenario-based tasks.

5 Study 1

The main objective of Study 1 was to obtain initial evidence to support Hypothesis 1. This hypothesis posited that individuals with higher SWB would hold greater exercise benefit beliefs than those with lower SWB and that the difference in exercise benefit beliefs between happier and less happy individuals would be more prominent in psychosocial than physical benefit beliefs.

6 Methods

Our studies were approved by the Institutional Review Board (IRB) of Seoul National University (IRB No. 2202/001-008).

6.1 Participants

The sample was recruited by Macromill Embrain, a South Korean online research firm that ensured participant anonymity by removing identifiable information. It comprised 320 Korean adults evenly distributed across genders and ages (20 s to 50 s), all passing an attention check. Written informed consent was obtained from each participant before conducting our three studies. Refer to Supplemental Online Material [SOM] Table A.1 for demographic details across Studies 1 to 3.

6.2 Measures

6.2.1 EBB Scale

Since no existing scale explicitly differentiated the two beliefs, our initial step was to devise a novel scale labeled the Exercise Benefit Beliefs (EBB) scale. This new framework intended to integrate and refine existing scales while explicitly distinguishing between physical and psychosocial benefit beliefs to enable a clear comparison of their differential associations with happiness. While the EBBS (Sechrist et al., 1987) primarily contrasts benefits with barriers, its design diverges from our focus on differentiating factors within exercise benefits. Similarly, although the MOEE (Wójcicki, 2009) aligns more closely with our objectives, it emphasizes self-efficacy, is predominantly validated in older adult populations, and does not fully capture the broader spectrum of psychosocial benefits, such as prosocial advantages and cognitive enhancement (e.g., Darlow & Xu, 2011; Mandolesi et al., 2018). By synthesizing the strengths of these scales and incorporating recent insights, we propose a refined categorization of exercise benefits into physical and psychosocial domains to elucidate their distinct impacts.
We aimed to identify factors nested within higher psychosocial and physical domains. The preliminary items were integrated from scales like EBBS and MOEE, incorporating recent findings on psychosocial benefits, such as improved attention, happiness, and prosocial behaviors (e.g., Darlow & Xu, 2011). Our conceptual model comprised 25 items across five factors: cognitive (e.g., “Exercise makes me more intelligent”), emotional (e.g., “Exercise makes me emotionally stable”), social (e.g., “Exercise creates an easy way to form a new relationship”), rehabilitative (e.g., “Exercise helps me maintain the right posture”), and athletic (e.g., “Exercise increases my muscle strength”). We expected these factors to be nested within psychosocial (cognitive, emotional, and social) and physical (rehabilitative and athletic) benefit beliefs (see Fig. 1). Participants rated their alignment on these beliefs presented randomly using a 7-point scale (1 = Strongly disagree, 7 = Strongly agree).1Descriptive statistics and factor loadings are presented in SOM Table A.2.
Fig. 1
The conceptual model of the EBB Scale. Note EBB = Exercise Benefit Beliefs
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6.2.2 SWB

We assessed SWB by incorporating cognitive (life satisfaction) and affective (positive and negative affect) aspects of well-being. Life satisfaction was measured using a single item (“In most ways, my life is close to my ideal.”) selected from the Satisfaction with Life Scale (SWLS; Diener et al., 1985) on a 7-point scale (1 = Strongly disagree, 7 = Strongly agree). Affective well-being was evaluated using the 20-item Positive and Negative Affect Schedule (PANAS; Watson et al., 1988; here, αs = 0.90 and 0.89 for positive and negative affect, respectively) on a 5-point scale (1 = Not at all, 5 = Extremely). We calculated the SWB score by adding the z-scored life satisfaction and z-scored positive affect and then subtracting the z-scored negative affect (Sheldon & Elliot, 1999).

6.2.3 Demographic Information

Participants provided demographic information, including age and gender (see SOM Table A.1). They also reported their exercise experience (months of regular exercise, with 0 for those not exercising regularly) as a potential covariate. Across all studies, when demographic information and exercise experience were included as a covariate in the main analyses, the statistical significance indicators (e.g., p-values) exhibited the same pattern. Thus, we reported the results that did not control any covariate.
Table 1
Mixed model statistics for predicting exercise benefit beliefs (Studies 1 and 2) and perceived effectiveness (Study 3)
 
Study 1
Study 2
Study 3
Mixed Model
b
SE
95% CI
b
SE
95% CI
b
SE
95% CI
SWB × Benefit Type Mixed Model
SWB
.43
.05
[.33, .52]
.40
.05
[.30, .49]
.63
.09
[.46, .80]
Benefit Type
.54
.03
[.48, .60]
.68
.04
[.61, .75]
.67
.05
[.57, .78]
SWB × Benefit Type
–.24
.04
[–.32, –.16]
–.19
.05
[–.29, –.10]
–.27
.07
[–.41, –.12]
Simple Slope for Psychosocial Type
SWB
.43
.05
[.33, .52]
.40
.05
[.30, .49]
.63
.09
[.46, .80]
Simple Slope for Physical Type
SWB
.19
.05
[.09, .28]
.21
.05
[.11, .30]
.37
.09
[.20, .54]
SWB = subjective well-being. b = unstandardized coefficient. Psychosocial type denotes psychosocial benefit beliefs (Studies 1 and 2) and psychosocial challenges (Study 3), while physical type represents physical benefit beliefs (Studies 1 and 2) and physical challenges (Study 3)

7 Data Analysis

To analyze our data, we used R (R Core Team, 2020) version 4.2.1 in all studies conducted.

7.1 Development of the EBB Scale

Before the primary analysis, we tested our nested-factor model (Fig. 1) using the EBB scale. This process involved three stages: first, we identified potential factors through scree plots and parallel analysis. Second, we performed an exploratory factor analysis (EFA) assessed by the root mean square error of approximation (RMSEA) and a 90% confidence interval (CI) (Browne & Cudeck, 1992). Lastly, we conducted a confirmatory factor analysis (CFA) with maximum likelihood estimation to ascertain if the five sub-factors nest within psychosocial or physical benefit beliefs using the psych and lavaan packages in R and assessed model fit using the comparative fit index (CFI; Bentler, 1990), RMSEA, and its 90% CI.

7.2 The Relationship Between SWB and Exercise Benefit Beliefs

To test Hypothesis 1, we explored whether SWB predicts exercise benefit beliefs, and this association differs by benefit type (0 = psychosocial benefit beliefs, 1 = physical benefit beliefs) using the linear-mixed effects model through lme4, lmerTest, and reghelper packages in R (Brown, 2021). Our model accounted for both within- and between-participant variability in a nested design involving each participant (n = 320 and observations = 640), incorporating random intercepts by the participant and fixed effects for SWB, benefit type, and their interaction. Benefit type was treated as a within-subject factor, as each participant rated both types of benefits, and SWB was treated as a between-subject factor, as it varies across participants.

8 Results

8.1 Development of the EBB Scale

The scree plots and parallel analysis commonly showed a five-factor solution as optimal. Furthermore, The results of the EFA indicate that the five-factor model is a good fit for exercise benefit beliefs (RMSEA = 0.04, 90% CI = [0.03, 0.05]). This suggests that exercise benefit beliefs consist of five specific factors, namely emotional, social, cognitive, athletic, and rehabilitative benefit beliefs.
The results of the CFA further supported the nested-factor model of the EBB scale (RMSEA = 0.07, 90% CI = [0.06, 0.07], CFI = 0.91, χ2(272) = 673.83). This indicates that the EBB scale is hierarchically structured, as shown in Fig. 1. The latent correlation between these two beliefs was significant but small (r = 0.35, p < 0.001). For our main analysis, psychosocial benefit beliefs were calculated by averaging emotional, social, and cognitive factors, while physical benefit beliefs were averaged with athletic and rehabilitative factors. SOM Table A.3 presents descriptive statistics for each factor of exercise benefit beliefs and its correlation with SWB.

8.2 The Relationship Between SWB and Exercise Benefit Beliefs

The results from the linear mixed-effects model supported our Hypothesis 1 (see Table 1). We found a positive main effect of benefit type, indicating that individuals generally believed in more physical than psychosocial benefits, which aligns with previous research (e.g., Ruby et al., 2011). We also observed, as expected, a significant positive main effect of SWB, meaning that happier individuals endorsed exercise benefit beliefs more strongly. More importantly, the interaction between SWB and benefit type was significant. Specifically, as depicted in Fig. 2, the association between SWB and exercise benefit beliefs was stronger for psychosocial benefit beliefs than physical benefit beliefs. Together, these findings suggest that happier individuals perceive more exercise benefits, with the difference between happier and less happy individuals being more pronounced in psychosocial benefit beliefs than in physical benefit beliefs.
Fig. 2
Association of SWB with exercise benefit beliefs (Studies 1 and 2) and perceived effectiveness (Study 3), moderated by benefit type (Studies 1 and 2) and situation type (Study 3). Note. SWB = subjective well-being. The y-axis range is 1 to 7 (Studies 1 and 3) and 1 to 5 (Study 2). The solid, darker lines indicate psychosocial benefit beliefs, while the dotted, lighter lines represent physical benefit beliefs
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9 Discussion

In Study 1, the EFA and CFA results validated our distinction between psychosocial and physical benefit beliefs in the exercise context. Our analysis showed that emotional, cognitive, and social benefits are grouped under psychosocial benefit beliefs, while athletic and rehabilitative benefits fall under physical benefit beliefs, providing initial support for the reliability of the EBB scale. The findings of Study 1 also supported Hypothesis 1, which states that happier individuals hold greater exercise benefit beliefs than the less happy, and this difference is more evident in psychosocial benefit beliefs than physical ones. It is essential to note that our results do not mean happier individuals prioritize psychosocial benefits over physical ones. Rather, while individuals across all levels of happiness generally perceive physical benefits as more significant than psychosocial benefits, this tendency is less pronounced among happier individuals.

10 Study 2

In Study 2, we had two empirical objectives. First, we aimed to replicate the findings regarding Hypothesis 1 and to gather initial evidence for Hypothesis 2. We incorporated various exercise behavioral measures, including exercise frequency, intention, and engagement. Second, we sought to validate our EBB scale using another sample from a different cultural background (i.e., the U.S.). Additionally, Study 1 used a single-item measure of life satisfaction, which previous research has validated (e.g., Cheung & Lucas, 2014; Jovanović, 2016; Jovanović & Lazić, 2020). However, we recognize potential reliability concerns with single-item measures and plan to use a full multi-item scale in subsequent studies to enhance reliability.

11 Methods

11.1 Participants

Our sample consisted of 291 individuals in the U.S. recruited through Amazon Mechanical Turk (MTurk). To ensure the quality of our data, we included two attention check items (e.g., “click on somewhat disagree” within the EBB scale and “click on moderately” within the PANAS scale) in the survey, which resulted in the exclusion of 16 participants who failed either of these checks. Ultimately, our final sample size for analysis was 275 participants (see SOM Table A.1).

11.2 Measures

11.2.1 EBB Scale

Participants were asked to rate their exercise benefit beliefs on a 5-point scale (1 = Strongly disagree, 5 = Strongly agree) using the 25-item EBB scale developed in Study 1. The scale encompassed emotional, cognitive, social, athletic, and rehabilitative factors (αs = 0.81, 0.86, 0.86, 0.81, 0.74, respectively).

11.2.2 SWB

Life satisfaction was assessed using all five items of the SWLS scale (α = 0.94) on a 7-point scale (1 = Strongly disagree, 7 = Strongly agree) instead of the single item used in Study 1. Positive and negative affect were also evaluated using the PANAS scale as in Study 1 (αs = 0.93 for both). The SWB score was then calculated using the same methodology as in Study 1.

11.2.3 Exercise Behavior

We evaluated exercise behavior across three aspects. First, exercise frequency was assessed using the Godin scale (2011); participants reported the number of weekly sessions for strenuous, moderate, and mild/light exercise, with each session lasting more than 15 min. A total score was calculated by multiplying each frequency by weight (9 for strenuous, 5 for moderate, and 3 for light) and summing the results. For example, if a participant reported three strenuous, two moderate, and six light sessions per week, their total score would be 55 (i.e., 3 × 9 + 2 × 5 + 6 × 3 = 55). Second, exercise intention was measured using two items adapted from De Bruijn et al., (2009, “I intend to engage in vigorous exercise” and “I am sure I will engage in vigorous exercise”) on a 5-point scale (1 = No, definitely not, 5 = Yes, definitely) (α = 0.94). Lastly, exercise encouragement was quantified by a single item (“How much do you want to encourage people around you to exercise?”), on a 5-point scale (1 = Not at all, 5 = Very much).

11.2.4 Demographic Information

Participants also provided demographic information, including age, gender, exercise experience in months, and ethnicity.

12 Data Analysis

12.1 Validation of the EBB Scale

Before our primary analyses, we performed a CFA to validate the nested-factor model of the EBB scale to ensure consistency across different samples, using the same strategy as in Study 1.

12.2 The Relationship Between Happiness and Exercise Benefit Beliefs

To verify Hypothesis 1, we employed the linear-mixed effects model, using the same approach as in Study 1.

12.3 Parallel Multiple Mediation

To test Hypothesis 2, we conducted parallel multiple mediation analyses using the PROCESS macro (model 4) for R version 4.0.1 (Hayes & Preacher, 2014). This approach allowed us to estimate both the direct and indirect effects of SWB on exercise behaviors, with psychosocial and physical benefit beliefs as parallel mediators. We utilized 5000 bootstrapped resamples (seed = 1234) to ensure robust estimates. The dependent variables included exercise frequency, intention, and encouragement. By testing both direct and indirect pathways, we aimed to understand whether SWB influences exercise behaviors directly or through its effects on these belief systems.

13 Results

13.1 Validation of the EBB Scale

CFA results confirmed a reasonable fit for our proposed nested-factor model (Fig. 1) of the EBB scale (RMSEA = 0.07, 90% CI = [0.07, 0.08]; CFI = 0.87; χ2(272) = 664.67). The latent correlation between these beliefs was significant yet small (r = 0.17, p < 0.001). Psychosocial benefit beliefs were calculated by averaging emotional, cognitive, and social factors. Furthermore, physical benefit beliefs were calculated by averaging athletic and rehabilitative factors. Descriptive statistics for each factor and its correlation with SWB and exercise behavior are reported in SOM Table A.4.

13.2 The Relationship Between Happiness and Exercise Benefit Beliefs

The detailed inferential statistics are shown in Table 3, and interaction plots in Fig. 2. We observed a positive main effect of benefit type, indicating that participants had more physical benefit beliefs over psychosocial ones. We, as expected, further found a significant positive main effect of SWB, suggesting that happier individuals held greater exercise benefit beliefs. Notably, our findings demonstrated a significant interaction between SWB and benefit type. Specifically, the link between SWB and exercise benefit beliefs was stronger for psychosocial than physical benefits. These results indicate that happier individuals perceive more exercise benefits, and the discrepancy between happier and unhappier individuals is larger in psychosocial benefit beliefs than physical benefit beliefs, supporting Hypothesis 1.

13.3 Parallel Multiple Mediation

Table 2 provides specific statistical values for the total, indirect, and direct effects of SWB on exercise behaviors, including frequency, intention, and encouragement. The results show that the total effects of SWB on these exercise behaviors were all significant and positive, indicating that happier individuals tended to engage in exercise more, express a greater intention to exercise in the future, and actively encourage others to engage in physical activity. More importantly, we found significant indirect effects via psychosocial benefit beliefs, suggesting that happier individuals held stronger psychosocial benefit beliefs; in turn, they exhibited greater exercise frequency, intention, and encouragement. Notably, the direct effects of SWB on exercise frequency and exercise encouragement were not significant, which indicates full mediation by psychosocial benefit beliefs for these outcomes. However, we did not find evidence of physical benefit beliefs as significant mediators in the relationship between SWB and exercise outcomes. When comparing the indirect effects via the two mediators, the contrasts were significant for all exercise outcomes, supporting Hypothesis 2.
Table 2
Parallel multiple mediation statistics: paths, total, direct, and indirect effects, and contrast of indirect effects in Study 2
 
DV: Exercise Frequency
DV: Exercise Intention
DV: Exercise Encouragement
 
b
SE
95% CI
b
SE
95% CI
b
SE
95% CI
MED: Psychosocial Benefit Beliefs
SWB–MED
.40
.05
[.29, .50]
.40
.05
[.29, .50]
.40
.05
[.29, .50]
MED–DV
19.36
6.58
[6.41, 32.30]
.61
.12
[.37, .85]
.73
.09
[.54, .91]
Indirect Effect
7.68
3.63
[1.94, 16.03]
.24
.07
[.12, .38]
.29
.05
[19, .39]
MED: Physical Benefit Beliefs
SWB–MED
.21
.04
[.13, .28]
.21
.04
[.13, .28]
.21
.04
[.13, .28]
MED–DV
–5.92
8.99
[–23.61, 11.78]
.28
.17
[–.05, .61]
.13
.13
[–13, .38]
Indirect Effect
–1.22
1.97
[–5.56, 2.32]
.06
.04
[–.01, .14]
.03
.03
[–.03, .08]
Total Effect
6.46
2.66
[2.23, 12.52]
.30
.07
[.18, .44]
.31
.06
[.21, .43]
Direct Effect
5.92
5.67
[–5.25, 17.08]
.22
.11
[.01, .43]
.03
.08
[–.13, .19]
Contrast of Indirect Effects
8.89
5.20
[.71, 20.45]
.19
.09
[.02, .36]
.26
.06
[.15, .39]
SWB = subjective well-being. MED = mediator. DV = dependent variable. b = unstandardized coefficient. The contrast of indirect effects represents the difference between the indirect effects via psychosocial benefit beliefs and physical ones.

14 Discussion

In Study 2, the CFA results suggest that exercise benefit beliefs were categorized into psychosocial and physical domains, consistent with Study 1, confirming the validity of the EBB scale. Furthermore, Study 2 verified Hypothesis 1, indicating a positive link between happiness and exercise benefit beliefs, with a larger association between SWB and psychosocial than physical benefit beliefs. Study 2 also supported Hypothesis 2, revealing that while psychosocial benefit beliefs mediated the relationship between happiness and exercise behavior, physical benefit beliefs did not. Overall, the findings suggest that happier individuals engage in exercise more because they perceive it as beneficial for psychosocial well-being.

15 Study 3

Study 3 aimed to revalidate hypotheses using a more realistic measurement of exercise benefit beliefs, enhancing ecological validity. Participants engaged in scenario-based tasks designed to naturally elicit their beliefs about exercise in response to psychosocial or physical challenges. We hypothesized happier individuals would perceive exercise as more effective, with this perception being stronger for psychosocial than physical challenges (Hypothesis 1). We further expected that these perceptions would mediate the relationship between happiness and the decision to exercise (i.e., exercise choice), with a stronger indirect effect observed via psychosocial challenges (Hypothesis 2).

16 Methods

16.1 Participants

We recruited 386 participants via MTurk. As part of our survey, we included a single attention check question (e.g., “click on moderately” within the PANAS scale) and excluded 17 respondents who did not pass it. This process resulted in a final sample size of 369 participants for our analysis (see SOM Table A.1).

16.2 Measures

16.2.1 Perceived Effectiveness of Exercise

As an alternative to using the EBB scale, we evaluated the perceived effectiveness of exercise through eight scenarios created based on the items of the EBB scale. Four scenarios focused on physical challenges (α = 0.80; e.g., “Lately, you have observed a decline in your overall physical fitness and an increase in your weight”), and four on psychosocial issues (α = 0.80; e.g., “Recently, you have been experiencing mental blocks and struggling to generate creative ideas or new thoughts”), presented in random order (see SOM Table A.5 for details). Participants rated the exercise’s effectiveness in addressing each challenge on a 7-point scale (1 = Very slightly or not at all, 7 = Extremely).
Additionally, participants rated the effectiveness of eight other activities (traveling, socializing, volunteering, eating, reading, writing, meditating, sleeping) in each scenario.2 The presentation order of these activities, including exercise, was randomized to mitigate order effects. These measures aimed to prevent participant hypothesis formation and assess whether findings were specific to exercise or generalizable to other activities.

16.2.2 Exercise Choice

After reporting the perceived effectiveness of activities for each scenario, participants selected one to three activities from the list of nine mentioned above, including exercise (“In the situation described above, what activities would you do to overcome it?”). On average, participants chose 2.46 activities (SD = 0.66) per scenario. Subsequently, we coded whether exercise was included (1) or not included (0) per scenario. Participants selected exercise as one of their activities in 0.62 (SD = 0.32) of the scenarios. We calculated exercise choice scores by summing binary scores for psychosocial challenges (M = 2.01, SD = 1.33, α = 0.60) and physical challenges (M = 2.97, SD = 1.33, α = 0.76).

16.2.3 SWB

SWB was measured using life satisfaction (α = 0.94), positive affect (α = 0.95), and negative affect (α = 0.93), employing the same measures as in Study 2. Following our prior studies, these three constructs were merged to calculate the SWB score.

16.2.4 Demographic Information

Age, gender, ethnicity, and exercise experience were measured, as in Studies 1 and 2.

17 Data Analysis

17.1 Confirmation of Situation Type

Before the main analyses, we performed a CFA to investigate whether the scenarios were appropriately categorized as psychosocial or physical challenges. We used the scores of perceived effectiveness of exercise to determine if there was a significant differentiation between psychosocial and physical challenges.

17.2 The Relationship Between SWB and the Perceived Effectiveness of Exercise

To test whether the results of Hypothesis 1 would be replicated, we employed the linear-mixed effects model, utilizing the same approach as our previous studies. The model included the perceived effectiveness of exercise as the dependent variable, with random intercepts by the participant and fixed effects for SWB, situation type (0 = psychosocial challenges, 1 = physical challenges), and their interaction.

17.3 Moderated Mediation

To verify Hypothesis 2, we conducted a 2-1-1 first-stage moderated mediation model. We utilized structural equation modeling with maximum likelihood estimation across 5000 bootstrapped resamples (Hayes, 2015; seed 1234), using a lavaan package in R (Rosseel, 2012). The model involved SWB as the independent variable at level 2, with the perceived effectiveness of exercise as the mediator at level 1 and exercise choice as the dependent variable at level 1 (i.e., 2-1-1 mediation). Additionally, we included situation type at level 1 as the moderator for the path between the independent variable and the mediator (i.e., first-stage moderated mediation). To account for within-participant variability, our model included random intercepts by the participant.

18 Results

18.1 Confirmation of Situation Type

The CFA results supported the two distinct categories of psychosocial and physical challenges (RMSEA = 0.09; 90% CI = [0.07, 0.11]; CFI = 0.95). This enabled us to calculate the mean perceived effectiveness of exercise for psychosocial and physical challenges.

18.2 The Relationship Between SWB and the Perceived Effectiveness of Exercise

SOM Table A.6 shows descriptive statistics for the perceived effectiveness of exercise by situation type and its correlation with SWB and exercise choice. As shown in Table 3, there was a positive main effect of situation type on the perceived effectiveness of exercise, indicating that exercise is seen as more effective for physical challenges than psychosocial challenges. As anticipated, we also observed a positive main effect of SWB on the perceived effectiveness of exercise, suggesting that happier individuals perceived exercise as more beneficial in overcoming challenges. This association was moderated by situation type, with the SWB-exercise effectiveness relationship being stronger for psychosocial challenges than physical difficulties (see Fig. 2). These results suggest that happier individuals view exercise as a more effective tool, especially for psychosocial challenges, supporting Hypothesis 1.
Table 3
Moderated mediation statistics: paths, total, direct, and indirect effects in study 3
 
Perceived Effectiveness
Exercise Choice
 
b
SE
95% CI
b
SE
95% CI
Simple Paths
SWB
.63
.10
[.44, .83]
–.23
.06
[–.34, –.12]
Situation Type
.67
.09
[.51, .84]
   
SWB × Situation Type
–.27
.07
[–.53, –.001]
   
Perceived Effectiveness
   
.57
.03
[.51, .64]
 
Effect
Boot SE
Boot 95% CI
Conditional Indirect Effects of SWB
In Psychosocial Challenges
.36
.06
[.25, .49]
In Physical Challenges
.21
.05
[.11, .32]
Index of moderated mediation mediator
–.15
.08
[–.31, –.001]
SWB = subjective well-being. b = unstandardized coefficient. ***p < .001, **p < .01, *p < .05, †p < .10

18.3 Moderated Mediation

The results of the moderated mediation analysis are presented in Table 3. For simple paths, the results were consistent with the mixed effects model as reported above—the stronger association between SWB and the perceived effectiveness of exercise in psychosocial (versus physical) challenges. Additionally, the perceived effectiveness of exercise positively influenced exercise choice. Together, the moderated mediation index was significant, which means that the indirect effect of SWB on exercise choice via perceived effectiveness of exercise varied by situation type. Specifically, the indirect effect was larger in psychosocial than physical challenges. This indicates that happier individuals perceived exercise as more effective in overcoming challenges, particularly psychosocial ones, rather than physical ones. This perception, in turn, enhanced their exercise choice, supporting Hypothesis 2.

18.4 Additional Analysis

We conducted further analysis to exclude potential alternative explanations attributing our findings to a general tendency of happy people that is not unique to exercise. We utilized separate linear mixed-effects models to predict the perceived effectiveness of each activity included in our survey. Our results suggest that happier individuals perceive all activities as more beneficial (all ps < 0.05; see SOM Table A.7), indicating a generally positive view among happier individuals. However, more notable is that the stronger association between SWB and the perceived effectiveness of activity in psychosocial challenges was unique to exercise. Other activities demonstrated no significant interaction effects or a stronger association with physical challenges (taking a trip, volunteering, and socializing).

19 Discussion

Study 3 confirmed Hypotheses 1 and 2, suggesting that happier individuals view exercise as a more effective way of dealing with challenges, especially psychosocial ones. This indicates that happier individuals are motivated to exercise even when they need to improve their psychosocial well-being. Additional analysis of various activities revealed intriguing trends, indicating happier individuals generally consider any activity effective in overcoming daily challenges, consistent with previous research on their positive outlook (e.g., Lyubomirsky & Tucker, 1998). However, the stronger association between happiness and psychosocial benefit beliefs than physical benefit beliefs appears to be unique to exercise and not observed in other activities.

20 General Discussion

Building on the Theory of Planned Behavior (TPB; Ajzen, 1985), Social Cognitive Theory (SCT; Bandura, 1986), and empirical literature (e.g., Lyubomirsky et al., 2005) that identify happiness—subjective well-being (SWB; Diener, 1984)—as an antecedent of exercise behavior, the present study proposed and tested two hypotheses regarding the relationship between happiness and exercise behavior. Hypothesis 1 posited that happier individuals than those less happy would believe more strongly in the benefits of exercise, with this difference being larger for psychosocial benefits (emotional, social, and cognitive) than for physical benefits (athletic and rehabilitative). Hypothesis 2 maintained that these beliefs would mediate the relationship between happiness and exercise, with a more substantial indirect effect in psychosocial than physical benefit beliefs.
We tested these hypotheses through three empirical studies involving 997 participants from the United States and South Korea. All three studies supported Hypothesis 1, while the last two studies provided evidence to champion Hypothesis 2. Specifically, Study 1 developed a novel scale that distinguishes between psychosocial benefits (e.g., “exercise can reduce anxiety”) and physical benefits (e.g., “exercise can increase strength”), suggesting that happiness is more closely related to psychosocial benefits. Study 2 validated this scale, and parallel mediation analyses revealed that psychosocial benefits play a greater role than physical benefits in mediating the relationship between happiness and increased exercise intention, encouragement, and actual exercise frequency. Finally, Study 3 employed a scenario task, and its moderated mediation analysis demonstrated that the link between happiness, exercise benefit beliefs, and exercise choice is moderated by the type of benefit. This further clarifies the underlying mechanism: happier individuals viewed exercise as effective for addressing daily challenges, particularly for psychosocial difficulties rather than physical ones.

21 Theoretical and Practical Contributions

Our study contributed to the existing literature in several ways. First, the study developed and validated the Exercise Benefit Beliefs (EBB) scale, which introduces a novel approach to evaluating laypeople’s perceptions of exercise benefits by explicitly differentiating between physical and psychosocial benefits. Building on prior research (Sechrist et al., 1987; Wójcicki, 2009), the EBB scale expands to cover a broader array of psychosocial benefits, including emotional regulation, cognitive development, and prosocial benefits (e.g., Smith & Merwin, 2021), which previous scales did not address. This not only reflects a more comprehensive view of exercise benefits but also supports future research with diverse objectives related to exercise behavior by offering a more nuanced measure of benefit beliefs.
Second, the study examined the cognitive mechanisms underlying the relationship between happiness and exercise, positioning happiness as an antecedent and identifying mediating factors that link happiness to exercise behavior. While existing research highlights their bidirectional relationship (e.g., Steptoe, 2019), prior studies have predominantly focused on how exercise boosts happiness through physical and social functioning (Lera-López et al., 2017; Newman et al., 2014) and physiological pathways (Thorén et al., 1990). Conversely, we focused on the mediating role of exercise benefit beliefs, especially psychosocial ones, in explaining why happiness leads to exercise engagement, suggesting that happier individuals see exercise as fulfilling psychosocial needs. Together, the present work elucidates how some unhappy individuals may overlook these benefits despite exercise’s emotional impact.
Third, the study underscored the significance of the psychosocial benefits of exercise. While the physical benefits of exercise are well-documented, the psychosocial advantages are often overlooked. Ruby et al. (2011) noted that individuals frequently underestimate the intangible benefits of exercise, such as enjoyment of exercise, due to a narrow focus on the unpleasant aspects of starting an exercise routine. However, they also mentioned that this tendency can be addressed and potentially reversed, thereby enhancing the intention to exercise. Furthermore, research indicates that psychosocial benefits have a more substantial impact on exercise intention and behavior compared to physical benefits (e.g., Williamson et al., 2020). Our findings highlighted the importance of promoting beliefs about the psychosocial benefits of exercise to engage in physical activity.
Lastly, the study holds practical implications, particularly for practitioners involved in promoting exercise. A significant proportion of adults (27%) and adolescents (80%) across the globe still do not meet physical activity guidelines set by the World Health Organization (WHO, 2022). Unlike motivation, which often demands sustained and intensive efforts, and traits, social influences, or environmental factors, which are typically resistant to transformation, beliefs represent a uniquely malleable and actionable target for intervention. In other words, brief mindset interventions can effectively shape beliefs, leading to significant changes in exercise behavior. For instance, individuals encouraged to view fitness as a skill that can be developed are more likely to engage in exercise than those who believe it is fixed (Orvidas et al., 2018). Similarly, reframing exercise as an enjoyable activity rather than a rigid obligation significantly increases physical activity (Boles et al., 2021). Likewise, framing exercise as a tool for improving happiness, social engagement, or productivity may be effective in encouraging exercise participation, especially among less happy individuals. Practitioners could highlight psychosocial benefits in gym advertisements and programs, fostering a holistic commitment to regular exercise.

22 Limitations and Future Research

Despite the valuable insights the present study provides, several limitations and future research directions are noteworthy. First, the cross-sectional nature of our design limited our ability to draw definitive conclusions about temporal relationships. While our findings align with the theoretical framework of the TPB, which suggests that background factors such as happiness sequentially shape beliefs, intentions, and behavior, alternative causal pathways remain plausible. For example, exercise behavior may influence beliefs, which then affect happiness. To address this, future research could incorporate longitudinal or experimental designs to establish more precise causal relationships. One promising direction involves mindset interventions (e.g., Boles et al., 2021) that emphasize both the psychosocial and physical benefits of exercise. Comparative analyses examining the impact of such interventions on exercise behavior while accounting for variations in happiness levels would offer valuable insights into the temporal interplay between these factors.
Second, while we accounted for several covariates, including age, gender, ethnicity, and exercise experience, it is crucial to recognize that other demographic and exercise-related variables might also impact our findings. For instance, socioeconomic status (SES) can hinder individuals’ ability to engage in physical activity (e.g., Cerin & Leslie, 2008), potentially attenuating the effects of happiness on exercise benefit beliefs and exercise behaviors. Individuals with lower SES often experience poorer mental health due to diminished health-related behaviors (Wang & Geng, 2019). However, previous studies indicate that the relationship between health behaviors and mental health remains positive and significant, even when controlling for SES factors (e.g., Wickham et al., 2020). This suggests that our findings may be consistent regardless of SES. To deepen our understanding of the relationship between happiness and exercise, future research should investigate the impact of inhibiting mechanisms, including SES, on exercise benefit beliefs.
Third, while we defined happiness by incorporating hedonic aspects of well-being, this focus may limit our exploration of other dimensions, such as psychological well-being (PWB; Ryff et al., 2007) and optimism. Prior literature highlights the role of PWB in enhancing exercise behavior (Edwards et al., 2005) but their bidirectional relationship is underexplored and unclear yet. Future studies should first investigate whether PWB can predict exercise behavior and then how beliefs may mediate this relationship. Additionally, while some may argue that optimism is also associated with healthy behaviors (Kavussanu & McAuley, 1995), Boehm et al. (2018) noted that the evidence supporting this link is relatively weak. In contrast, a robust body of research consistently demonstrates that higher SWB leads to greater physical activity (Diener et al., 2018; Frey & Gullo, 2021; Kushlev et al., 2020; Steptoe, 2019), which is why we focused on SWB in our study. Future research should explore how optimism interacts with belief systems.
Lastly, the study distinguished between physical and psychosocial benefit beliefs. However, some psychosocial benefits may be attributed to genetics and brain functions, blurring the boundaries between physical and psychosocial aspects (Harden, 2023). Despite this concern, we found a significant but slight latent correlation between the two (rs = 0.35 and 0.17 in Studies 1 and 2, respectively). Future studies could explore whether this dichotomy remains in other behaviors that generate physical and psychosocial benefits, such as smoking cessation, diet, and sleep.

23 Conclusion

Although extensive research shows that happier individuals exercise more, the underlying mechanism remains unclear. This study addresses this gap by examining the role of exercise benefit beliefs in this connection. Our findings suggest that happier individuals perceive exercise as more beneficial to their overall well-being, with the gap based on happiness levels being greater in psychosocial benefits than in physical benefits. Additionally, these beliefs mediate the relationship between happiness and exercise behavior, with a stronger indirect effect for psychosocial benefits. By highlighting the psychosocial benefits of exercise, we can offer practical guidance and support to encourage physical activity, particularly for less happy individuals.

Declarations

Conflict of Interest

The authors have no competing interests to declare that are relevant to the content of this article.

Ethical Approval

Our studies involved human participants and were approved by the Institutional Review Board (IRB) of Seoul National University (IRB No. 2202/001-008).
Written informed consent was obtained from each participant before conducting all three studies.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Titel
Why Do Happy People Exercise More? The Role of Beliefs in the Psychosocial Benefits of Exercise
Verfasst von
Sumin Jung
Xyle Ku
Incheol Choi
Publikationsdatum
01.04.2025
Verlag
Springer Netherlands
Erschienen in
Journal of Happiness Studies / Ausgabe 4/2025
Print ISSN: 1389-4978
Elektronische ISSN: 1573-7780
DOI
https://doi.org/10.1007/s10902-025-00885-5

Supplementary Information

Below is the link to the electronic supplementary material.
1
The preliminary items encompassed 100 items since we had initially expected to identify potential additional factors through data-driven exploration. However, scree plots and parallel analysis commonly indicate that a five-factor solution is optimal. We initially considered beliefs related to appearance (e.g., “exercise makes me look good”) and lifestyle (e.g., “exercise reduces phone-use time”) but ultimately excluded these items as they lacked convergence into the physical or psychosocial categories. It might be because appearance-related beliefs connect to the physical dimension but are also intertwined with psychosocial side effects. In contrast, lifestyle-related beliefs may not align with the physical domain but can impact physical energy levels. The researchers selected five items per factor to make our scale more brief for future use. We removed those with similar meanings (e.g., “Exercise helps me to have contact with friends” and “Exercise helps me to meet people”), lacking depth (e.g., “Exercise improves mental health”), or demonstrating lower factor loadings.
 
2
In selecting the activities for our study, we referenced the framework established by Choi et al. (2017), which effectively identifies key positive activities associated with enhanced emotional well-being and meaningfulness. To improve the face validity of our measures, we also included well-established well-being behaviors from the literature, specifically writing and meditation. Research indicates that writing positively influences well-being by facilitating emotional expression and reflection (North et al., 2011), while meditation fosters mindfulness and reduces stress, contributing to overall well-being (Allen et al., 2021). We limited our selection to three primary activities to maintain clarity and specificity, enabling a more focused exploration of their effects on well-being and exercise behaviors.
 
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