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J Exerc Rehabil > Volume 16(4);2020 > Article
Jeoung: Correlation of physical fitness with psychological well-being, stress, and depression in Korean adults


The purpose of this study was to examine the relationship between physical fitness and psychological well-being, stress, and depression in Korean adults. Participants were 160 adults aged 40–70 years living in the metropolitan area of Incheon. Results were collected from random sample of main measurements from Incheon fitness center of National Fitness Award Project (2019). We assessed participants using physical fitness test (national fitness award), Psychosocial well-being index short form, Perceived Stress Scale, Geriatric Depression Scale. The data were analyzed Pearson and Spearman rank correlation analysis, and linear was conducted using IBM SPSS Statistics ver. 25.0. The re-sults indicated there were statistically significant associations between psychological well-being and agility, quick response; stress and flexibil-ity; depression and strength endurance strength, body fat. In addition, analysis showed that strength, endurance strength, body fat of physical fitness factors could significantly predict depression, flexibility could significantly predict stress, agility and quick response could significant-ly predict psychological well-being.


Physical fitness is the basic ability of motor performance and maintain one’s health based on physical function. It is the functional and innate physical ability to respond actively to given stimuli within a given environment. It can also be defined as the ability to utilize the body with optimal efficiency (Blair et al., 1989). While the definitions vary somewhat among scholars, the World Health Organization defines physical fitness as the ability required to perform satisfactorily tasks that involve muscular work under given conditions. Physical fitness can be divided into the physical and mental components. Each component is further divided into fitness for performance and fitness for protection. The former is divided into abilities for the expression, maintenance, and regulation of physical activity; whereas the latter is the ability to sustain health by resisting changes in the environment. Physical fitness can also be divided into health- and skill-related fitness (Becofsky et al., 2015; Blumenthal et al., 2007; Cho et al., 1998).
Meanwhile, aging is related to cognitive decline and increased incidence of chronic diseases, which can cause changes in motor function and decline in physical abilities, activities of daily living, and physical fitness (Aparicio-Ugarriza et al., 2018). Increasing the amount of physical activity and improving physical fitness have been suggested to prevent cognitive decline and increased incidence of chronic disease. Regular and continuous engagement in physical activity is known to have positive effects on physical and mental health. These effects include the enhancement of the physical factors of physical fitness, such as strength, endurance strength, flexibility, agility, balance, and cardiorespiratory endurance, and the mental factors, ultimately leading to psychological stability, happiness, stress relief, and reduction of depression (Becofsky et al., 2015; Blumenthal et al., 2007).
Physical fitness enhancement provides various advantages in terms of health science through engagement in physical activity. Physical fitness and physical activity help reduce the relative risk of metabolic and cardiovascular diseases (Williams, 2001). In particular, high levels of cardiorespiratory endurance in adults reduce mortality (Lee et al., 1999). Moreover, high strength reduces the risk of metabolic and cardiovascular diseases (Jurca et al., 2004). As such, physical fitness is known as a powerful predictor for reducing the prevalence and mortality of metabolic syndrome, type II diabetes, and cardiovascular disease (Blair et al., 1989, 1996; Farrell et al., 1998). Erickson et al. (2014) demonstrated the association among physical activity, cardiorespiratory endurance, and gray matter volume.
In terms of mental health, Yamagata et al. (2013) found that among the components of physical fitness, individuals with higher levels of leg strength and cardiorespiratory endurance are less likely to have symptoms of depression. Ernst et al. (2006) reported the correlation between cardiorespiratory endurance and depression, whereas Vogelzangs et al. (2008) demonstrated the association between body fat and depression.
As such, physical fitness has continued to draw attention as a major research topic for investigators in exercise science, who, based on such findings, have emphasized the importance of cardiorespiratory endurance and strength enhancement (Chen et al., 2006; Jurca et al., 2004; Polak et al., 2006). These previous studies are mostly about increasing the amount of physical activity, changing the level of physical fitness, metabolic syndrome, cardiovascular diseases, and depression, and are limited to the physical fitness factors of cardiorespiratory endurance and strength. Meanwhile, the effects of the other factors of physical fitness, including flexibility, agility, quick response, balance, and body fat, on stress, depression, and mental health have not been examined. The present study thus aimed to analyze the correlation of physical fitness factors with and their effects on psychological well-being, depression, and stress in Korean adults in order to provide basic data for the development of exercise programs that can enhance the physical fitness factors for maintaining good mental health.



A total of 160 adults aged 40–70 years living in the metropolitan area of Incheon participated in this study. These are people who voluntarily participated in the Incheon Fitness Center of the National Sports Awards Project (2019). All potential participants received a comprehensive explanation of the proposed study. They underwent tests for physical fitness, psychological well-being, stress, and depression. The general characteristics of the participants are shown in Table 1.

Physical fitness test

For the physical fitness test, I used the method of measurement currently used in the National Fitness Award (NFA) program and assessed the following subcomponents. Strength was measured as grip strength; endurance strength was assessed by sit-ups; and cardiorespiratory endurance was assessed by a 20-m shuttle run to the NFA theme song and measured as the number of laps. Flexibility was measured as the sit-reach result (cm), whereas agility was assessed by four 10-m shuttle runs (total of 40 m) and measured using a stopwatch. For the quick response measurement., the participants were asked to perform the standing long jump, and jump distance was measured in cm. Body mass index (BMI) was measured using a height and weight scale. Prior to the physical fitness test, the participants performed warm-up exercises including simple calisthenics, such as stretching and running. They were also informed about the testing method and precautions.

Psychosocial Well-being Index Short Form

For the psychological well-being test, we used the 18-item Psychosocial Well-being Index Short Form (PWI-SF), which was adapted from the General Health Questionnaire (GHQ-60 by Goldberg; Nam et al., 2017). The testing form included a 4-point scale (“Always,” “Often,” “Sometimes,” and “Never”), and each item was scored from 0 to 3, which was reversed for negatively worded items. A lower total score indicated better psychosocial health status. The reliability of the PWI-SF test form used in this study was confirmed, with the Cronbach alpha of 0.830.

Perceived Stress Scale

The Perceived Stress Scale (PSS) was developed by Cohen (Nam et al., 2017), I used the questionnaire, which consists of 10 items to assess for overall awareness of stress that threatens health or requires another response in one’s daily living. The test form uses a 5-point scale (“Never,” “Almost never,” “ Sometimes,” “Quite often,” and “ Very often”), with each item scored from 0 to 4. The PSS has a score range of 1 to 50, and items 4, 5, 7, and 8 are reverse-scored. A higher score indicated higher perceived stress, for the average adult. In this study, the Cronbach alpha was 0.753.

Geriatric Depression Scale

For the depression test form, I used the Korean version of the Geriatric Depression Scale (GDS), a depression diagnostic scale based on DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised), developed by Yesavage (1988). The participants were asked to mark “Yes” if they thought the statement described their condition well and “No” if not. For items 1, 5, 7, 11, and 13, “No” was scored 1, whereas for all other items, “Yes” was scored 0. The reliability of the GDS version used in this study was confirmed, with Cronbach alpha of 0.803.

Data analyses

IBM SPSS ver. 25.0 (IBM Co., Armonk, NY, USA) was used in the data analyses. I used descriptive statistics, according to the study’s aim. Pearson and Spearman rank correlation analyses were performed to examine the correlations of physical fitness with stress, mental health, and depression. Linear regression was conducted for physical fitness and stress, mental health, depression scores, and physical fitness factors that showed significant correlations, in order to analyze their effects on physical fitness factors. The level of significance was set at P<0.05.


This study analyzed the correlation between the physical fitness factors and psychological well-being experienced in the past few weeks, perceived stress in the past month, and depression. As shown in Table 2, depression was correlated with strength (r= 0.242, P<0.01), endurance strength (r=0.231, P<0.05), and BMI (r=0.261, P<0.05), whereas stress was correlated with flexibility (r=0.192, P<0.05). Psychological well-being was correlated with agility (r=−0.276, P<0.01) and quick response (r=0.256, P<0.05).
Among the physical fitness factors that showed a correlation with depression, we performed regression analysis on the effect of strength, endurance strength, and BMI on depression. The score for depression was predicted to decrease by −0.24 (P<0.01) when the strength score increased by 1 (coefficient of determination, R2=0.050). Depression was predicted to decrease by −0.231 (P< 0.05) when the endurance strength score increased by 1 (R2=0.043) (Table 3).
The linear regression analysis indicated that the stress score was predicted to decease by −0.192 (P<0.05) when the flexibility score increased by 1 (R2=0.028) (Table 4).
Moreover, we found correlations between physical fitness factors and psychological well-being, agility, and quick response. The results of linear regression indicated that the psychological well-being score was predicted to increase by 0.276 (P<0.05) when the agility score increased by 1 (R2=0.055). The psychological well-being score was also predicted to increase by 0.276 (P<0.01) when the quick response score increased by 1 (R2=0.066) (Table 5). Significant differences were observed in both predictions.


Regarding mental health and exercise, researchers have argued that exercise brings self-awareness, positive changes in well-being and confidence, cognitive enhancement, emotional changes, tension relief, elimination of depression and anxiety emotions, enhanced mental well-being, and increased social contact and pleasure, whereas regular exercise contributes to improvement in physical fitness (Baceviciene et al., 2019).
In the present study, I analyzed the correlation between each physical fitness factor and psychological well-being, stress, and depression in adults aged 40 years or older. I found correlations between psychological well-being and, of the physical fitness factors, agility, and quick response, which showed effects on the former. In addition, depression was correlated with and affected by strength, endurance strength, and body fat. The study by Lee et al. (1999), although conducted among Korean adolescents, demonstrated the association between mental health and the physical fitness factors of endurance strength and agility. A study conducted in postmenopausal women reported an association between mental health and balance (Moratalla-Cecilia et al., 2016). In a study of depression and physical fitness factors, Ho et al. (2008) reported an association between depression and body fat in adult of china. A study conducted in adults in Sweden reported the effect of cardiorespiratory endurance on depression (Gerber et al., 2013). In Korean old people, depression has been demonstrated to correlate with strength, cardiorespiratory endurance, agility, and balance (Ahn and Kang, 2015).
In the present study, however, I found no correlation between depression and cardiorespiratory endurance; we found a significant correlation among depression, strength, and endurance, consistent with the study by Ahn and Kang (2015) among Korean elderly that showed an association between depression and strength. Despite the contradictory finding that depression and cardiorespiratory endurance are not correlated, previous results have suggested a possible mechanism for how cardiorespiratory endurance can prevent and improve depressive symptoms; it is proposed to have a protective function in psychological and physiological terms. Psychologically, cardiorespiratory improvement through regular exercise increases self-efficacy, self-esteem, and social reinforcement. Physiologically, it increases the amount and activation of major neurotransmitters, including serotonin, epinephrine, and dopamine, is associated with decreased cortisol levels and weakened cardiovascular responses owing to stress, and decreases inflammatory responses. A high cardiorespiratory endurance level is known to increase brain-derived neurotrophic factor and hippocampal neurogenesis (Cotman et al., 2007; Deslandes et al., 2009; Dishman et al., 2006; Ernst et al., 2006). In addition, I analyzed the relation between stress and physical fitness factors and found that, of the physical fitness factors, flexibility affected the decrease in stress. A correlation study of stress and physical fitness factors conducted in Swedish adults reported that cardiorespiratory endurance affects stress (Gerber et al., 2013). Østerås et al. (2017) also reported that strength is associated with stress, whereas Gerber et al. (2013) reported that body fat is associated with stress.
Taken together, stress has been reported to be associated with cardiorespiratory endurance, strength, agility, and body fat, but the present study showed a different result: flexibility affects stress. Therefore, research on the correlation between physical fitness factors and psychological well-being, depression, and stress must continue, as well as meta-analyses based on the results, to develop and implement a program for improving each physical fitness factor, which will contribute to physical fitness and mental health, including improvement in psychological well-being, depression, and stress.



No potential conflict of interest relevant to this article was reported.


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Table 1
Demographic characteristics of the participants (n=160)
Characteristic Value
 Male 38 (23.8)
 Female 122 (76.2)

Age (yr) 54.20±8.4

Height (cm) 157.6±6.9

Weight (kg) 61.2±10.0

Body mass index (kg/m2) 24.49±3.1

Strength (kg) 22.92±6.0

Endurance strength (time) 20.13±12.1

Cardiorespiratory fitness (time) 17.9±9.7

Flexibility (cm) 13.9±8.3

Agility (sec) 14.4±2.4

Quick response (cm) 130.17±24.3

Depression (score) 5.93±2.0

Stress (score) 19.6±4.2

Psychological well-being (score) 47.6±8.0

Values are presented as number (%) or mean±standard deviation.

Table 2
Correlation of physical fitness with psychological well-being, stress, and depression
Variable Grip strength Endurance strength Cardiorespiratory fitness Flexibility Agility Quick response Body mass index
Depression −0.242** −0.231* −0.026 −0.004 0.102 −0.163 0.261*
Stress −0.081 0.146 −0.177 0.192* 0.027 0.172 0.121
Psychological well-being 0.004 0.177 −0.046 −0.176 −0.276** 0.256* −0.200

* P<0.05.

** P<0.01.

Table 3
Regression analysis of strength, endurance strength, body mass index, and depression
Variable b β R2 T P-value
Strength −0.087 −0.242 0.050 −2.67 0.009**
Endurance strength −0.052 −0.231 0.043 −2.3 0.024*
Body mass index 0.313 0.261 0.060 2.41 0.018*

* P<0.05.

** P<0.01.

Table 4
Regression analysis of flexibility and stress
b β R2 T P-value
Flexibility −0.095 −0.192 0.028 −2.09 0.039*

* P<0.05.

Table 5
Regression analysis of agility, quick response, and psychological well-being
b β R2 T P-value
Agility 0.060 0.256 0.055 2.511 0.014*
Quick response 0.829 0.276 0.066 2.720 0.008**

* P<0.05.

** P<0.01.

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