Next Article in Journal
Analysis of the Interior Microclimate in Art Nouveau Heritage Buildings for the Protection of Exhibits and Human Health
Previous Article in Journal
Environmental Regulation, Scientific and Technological Innovation, and Industrial Structure Upgrading in the Yellow River Basin, China
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 19
Issue 24
10.3390/ijerph192416598
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Personality Determinants of Diet Health Quality among an Elite Group of Polish Team Athletes

by
Maria Gacek
1,*,
Agnieszka Wojtowicz
2 and
Adam Popek
3
1
Department of Sports Medicine and Human Nutrition, Faculty of Biomedical Sciences, University of Physical Education in Kraków, 31-571 Krakow, Poland
2
Department of Psychology, Faculty of Social Sciences, University of Physical Education in Kraków, 31-571 Krakow, Poland
3
Bronisław Markiewicz State Higher School of Technology and Economics in Jarosław, 37-500 Jarosław, Poland
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(24), 16598; https://doi.org/10.3390/ijerph192416598
Submission received: 27 October 2022 / Revised: 7 December 2022 / Accepted: 8 December 2022 / Published: 10 December 2022
Review Reports Versions Notes

Abstract

:
The aim of the study was to analyse personality determinants of diet health quality among of an elite group of Polish team athletes. The correlations between personality traits of the big five model and the indices of diet health quality (the pro-healthy diet index, pHDI-10 and the non-healthy diet index, nHDI-14) were assessed. Research was carried out among 213 athletes (males), using the beliefs and eating habits questionnaire (Kom-PAN) and the neuroticism extraversion openness personality inventory—revised (NEO-PI-R). Statistical analysis was performed with the use of Pearson’s linear and Spearman’s signed rank correlation coefficients as well as multiple regression, assuming the significance level of α = 0.05. It has been shown that the pro-healthy diet index (pHDI-10) decreased with increasing Neuroticism, while an increase was noted along with increasing Extraversion. In the case of the non-healthy diet index (nHDI-14) a decrease along with a simultaneous increase in the level of Agreeableness (p < 0.05). Significant (but weak) correlations have been indicated between personality traits and diet health quality. The identified dependencies may be used to personalise the impact of dietary education among athletes.

1. Introduction

The achievement of sports goals is conditioned not only by a wide range of motor and mental abilities [1,2,3], but also by quality of diet, considering the increased demand for energy, fluids and some nutrients (carbohydrates, proteins, B vitamins, antioxidants and mineral salts). A varied diet, rich in products with high nutritional density and limiting those with low nutritional density, is one of the key factors contributing to health, improving exercise capacity and the effective post-exercise recovery of athletes [4,5].
One of the proposals for the rational nutrition of athletes is the model of the Swiss pyramid, which opens with water and other non-sweetened drinks, and ends with sweet and salty snacks. The intermediate levels of the pyramid are occupied by: vegetables and fruits, wholegrain cereal products, legumes, other protein products and vegetable fats, recommended for consumption in various amounts, and at a certain frequency. This model emphasizes the special importance of water for the regulation of hydration and electrolyte management, as well as vegetables and fruits for maintaining appropriate antioxidant status and acid-base balance in conditions of vigorous physical exercise [6].
The health quality of a diet, related to the implementation of quantitative and qualitative dietary recommendations, can be assessed using various indices, including the healthy diet index (HEI), the Australian diet quality index (Aussie-DQI) [7,8,9] and the pro-healthy diet (pHDI-10) and non-healthy diet (nHDI-14) indices functioning in the Polish literature. The pro-healthy diet index concerns the frequency of consuming products with potentially beneficial effects on health, while the non-healthy diet index concerns the consumption of products potentially detrimental to health [10].
Nutritional behaviour is determined by numerous factors, including environmental and individual conditions [11,12,13]. An important area of determinants regarding food choices are psychological factors, including personality traits. Personality is treated as an internal regulatory system that allows for adaptation to selected situations and the environment as well as internal integration of thoughts, feelings and behaviours [14]. One of the models regarding the approach to personality and its description is the five-factor model of personality by Costa and McCrae, which, in the last few decades, has become one of the dominant paradigms in the psychology of traits [15]. The so-called big five model by Costa and McCrae [16] consists of five main dimensions of personality, including Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness (and constituent features of these dimensions). The dimensions of the big five offer the possibility to comprehensively and factually describe, and interpret personality in terms of five major domains: general activity and contact, emotional balance, the way of relating to people, the way of relating to tasks, and general reference to the world and new experiences [14,16].
Personality is also important for the quality of food choices, which was demonstrated, among others, in young adults from New Zealand, university students from Ghana and physical education students from Poland and Spain [17,18,19]. Among physical education students, the intensity level of a pro-healthy diet has been described along with an increase in the levels of extraversion and conscientiousness [19]. In research on the subject, it has been shown that people practicing sports are characterised by a lower level of Neuroticism, which is conducive to more favourable eating behaviours [20]. In other studies, it has been indicated that Conscientiousness is associated with reduced exposure to psychoactive substances (alcohol and tobacco) and increased consumption of vegetables and fruits [21]. In research on the subject, it has also been demonstrated that high Extraversion and Conscientiousness were conducive to undertaking physical activity and applying a healthier lifestyle [22,23,24]. It was also confirmed that Conscientiousness and Openness to Experience are predictors of occupational burnout and lower quality of life among athletes [25]. A research hypothesis has been formulated in reference to the results of the above-mentioned research. The mostly positive predictive significance of extraversion and conscientiousness have been suggested, as well as the negative significance of neuroticism for health-related behaviours, including nutritional ones among various population groups [17,18,19,20,21]. Another premise of the adopted research hypothesis regarded the characteristics of individual personality dimensions, including neuroticism (associated with emotional lability), extraversion (associated with positive emotion) and conscientiousness (associated with the ability to control stimuli and focus on achievement striving) [14,15,16].
Due to the significance of diet quality for the health and exercise capacity of athletes, complexity regarding the determinants of nutritional behaviour, the lack of exploitation on the subject correlations between personality and diet as well as the ambiguity of the study results obtained so far, research was undertaken on the personality determinants regarding athletes’ diets. The aim of the study was to analyse the personality determinants of diet health quality among an elite group of Polish team athletes. The relationships between the personality traits of the big five model and the indices of diet health quality (pHDI-10 and nHDI-14) were assessed. The following research questions were posed: (1) What are the indices of diet health quality among athletes? (2) What are the personality traits of athletes? (3) What are the correlations between the personality traits and the diet quality among athletes? A research hypothesis was adopted stating that personality traits are related to the diet health quality of athletes, with higher indices of a pro-healthy diet fostered by Conscientiousness and Extraversion, and less favourably—by Neuroticism.

2. Materials and Methods

2.1. Participants

Research was carried out among a group of 213 Polish team athletes (males), including those practicing basketball (n = 54), volleyball (n = 53), football (n = 53) and handball (n = 53). The basic criterion for selection to the study group was practicing sports at a competitive level, at the level of the highest league in Poland, for at least 3 years. The study was conducted at 18 basketball clubs, 19 volleyball clubs, 13 soccer clubs and 10 handball clubs. The age of the tested athletes ranged from 18 to 38 years (M = 26.1; SD = 4.5), with sports experience being between 3 and 20 years (M = 8.2; SD = 4.5). The research was performed in accordance to the 1964 Declaration of Helsinki, after obtaining the participants’ written informed consent. The research protocol was approved by the Bioethics Committee at the Regional Medical Chamber in Kraków (No. 105/KBL/OIL/2021).

2.2. Instruments

2.2.1. Assessment of Diet Health Quality

Diet was assessed using the beliefs and eating habits questionnaire created by the Behavioural Conditions of Nutrition Team, Committee of Human Nutrition Science, Polish Academy of Science [10]. This indicates a sufficiently high repeatability of results, which was confirmed in the validation procedure [26]. The frequency of consuming selected products was assessed on a 6-point ordinal scale, with the following ranks: 1 (never), 2 (1–3 times a month), 3 (once a week), 4 (several times a week), 5 (once a day), and 6 (several times a day). The original ranks were then converted into real numbers expressing the daily frequency of food consumption (as times/day), according to the formula: never (0), 1–3 times a month (0.06), once a week (0.14), several times a week (0.5), once a day (1) and several times a day (2) [10].
By summing up the values determining the daily frequency of consuming specific product groups, 2 indicators of diet quality were calculated: the pro-healthy diet index (pHDI-10), concerning the consumption of foods with potentially beneficial effects on health (10 groups of products) and the non-healthy diet index (nHDI-14), concerning the consumption of foods potentially detrimental to health (14 product groups). The indices are interpreted as follows: the higher the value of the index, the higher the intensity of the nutritional features favourable or unfavourable to health.
The values of the pHDI-10 index, expressed as the sum of the daily frequency of consuming 10 groups of products (times/day), are within the range of 0–20, while the values of the nHDI-14 are between 0–28. Values within the range of 0–6.66 for the pHDI-10 are interpreted as low, within the range of 6.67–13.33 as moderate, and between 13.34–20.0, as high. In the case of nHDI-14, values within the range of 0–9.33 are defined as low, 9.34–18.66 as moderate, and between 18.67–28.0, as high [10].
The pHDI-10 is related to the frequency consuming 10 groups of products: wholemeal bread, other whole grain cereal products, milk, fermented dairy drinks, cottage cheese, white meat dishes, fish, legumes, fruits and vegetables. The nHDI-14 is determined by the frequency of consuming 14 groups of products: light bread, other refined cereal products, fast food, fried foods, butter, lard, cheese and processed cheeses, meat products, red meat dishes, sweets, canned meat, sweetened carbonated or non-carbonated beverages, energy drinks, alcoholic beverages [10].

2.2.2. Assessment of Personality Traits

To assess personality traits in the five-factor model, the NEO-PI-R (neuroticism extraversion openness personality inventory—revised) by P.T. Costa and R.R. McCrae was used [16] in the Polish adaptation [27]. The NEO-PI-R includes 240 statements, the truth of which is assessed by the respondent on a 5-point scale (from “completely disagree” to “completely agree”). The statements refer to 5 personality dimensions (scales), within which there are 6 subscales. The questionnaire includes: Neuroticism (anxiety, hostility/anger, depression, self-consciousness, impulsiveness/immoderation, vulnerability to stress/fear/learned helplessness), Extraversion (warmth/kindness, gregariousness/sociability, assertiveness, activity level/lively temperament, excitement seeking and positive emotion), Openness to Experience (fantasy/imagination, aesthetics/artistic interest, feelings/emotionality, action/adventurousness/exploration, ideas/intellectual interest/curiosity, values/psychological liberalism/tolerance to ambiguity), Agreeableness (trust in others, straightforwardness/morality, altruism, compliance/cooperation, modesty, tendermindedness/sympathy) and Conscientiousness (competence/self-efficacy, order(liness)/organising, dutifulness/sense of duty/obligation, achievement striving, self-discipline/willpower, deliberation/consciousness). Thus, the NEO-PI-R questionnaire allows for the description of 30 personality traits. The measurement reliability of the 5 dimensions in the Polish adaptation of the questionnaire is adequate and amounts to (respectively): Neuroticism—0.86, Extraversion—0.85, Openness to Experience—0.86, Agreeableness—0.81, Conscientiousness—0.85 [27]. In the case of subscales, the majority of reliability coefficients range from 0.60 to 0.70, while 8 subscales have reliability coefficients ranging from 0.51 to 0.57, and 2 below 0.50 (U6—tendermindedness/sympathy, and S4—achievement striving). In the case of these 2 subscales, the obtained results should be approached with caution [27].

2.3. Statistical Analysis

The collected numerical material was subjected to statistical analysis using the Statistica 13.3 package. Basic statistical measures (M—arithmetic mean, Me—median, SD—standard deviation, Q25—lower quartile, Q75—upper quartile, minimum and maximum) were calculated. Statistical analysis was performed using Pearson’s linear and Spearman’s signed rank correlation coefficients (depending on the nature of the variables). Multiple regression analysis was also implemented to identify which of the variables could explain the level diet health quality indices. In the calculations, a progressive stepwise regression procedure without constant terms was applied. The analysis also included calculation of multivariate determination coefficient (R2) values and the standard error of estimate (Se), as well as the values of standardised partial regression coefficients b*, which are a measure of relative significance concerning independent variables (i.e., personality traits) in the model. The analyses were performed with the significance level of α = 0.05.

3. Results

3.1. Health Quality of Athletes’ Diet

In Table 1, the frequency of consuming products with potentially beneficial and potentially adverse health effects among athletes is presented. Among the products with potentially beneficial effects on health, athletes ate fruits (49.3%) and vegetables (29.6%) in the highest proportion, at least once a day. However, the largest percentage of the respondents consumed fruits and vegetables several times a week, and whole grain cereal products, legumes, dairy products, poultry and fish dishes once a week. Among the products with potentially detrimental effects, the athletes consumed canned meats (53.5%), light bread (31.9%) and sweets as well as confectionery (31.9%) at least once a day. However, the highest percentage of subjects consumed light bread, sweets and confectionery several times a week. Other light cereal products, cheeses, red meat dishes, butter, sweetened carbonated and non-carbonated beverages and energy drinks were usually consumed once a week. Other products were eaten less frequently (Table 1).
In Table 2, the daily frequency of consuming products with potentially beneficial and potentially unfavourable effects on health is shown, as well as the values for pro-healthy (pHDI-10) and non-healthy diet (nHDI-14) indices. Among the products potentially beneficial to health, the studied athletes consumed fruits and vegetables the most (Me = 0.5), while the least frequently, fermented dairy products (Me = 0.06). Among the products with potentially adverse health effects, they most often consumed processed/canned meats (Me = 1.0), light bread, butter, sweets and confectionery (Me = 0.5), and least often, canned meats, fried dishes, fast food and alcoholic beverages (Me = 0.06). The value of the pro-healthy diet index (pHDI-10) was 3.83 times/day, while for its non-healthy counterpart, the level totalled 4.39 times/day (and, respectively: 19.16 and 15.69 points) (Table 2).

3.2. Athletes’ Personality Traits

Among the personality dimensions of the five-factor model, the surveyed athletes obtained the highest results in terms of Conscientiousness (M = 128.5), Agreeableness (M = 123.2), Extraversion (M = 121.8) and Openness to Experience (M = 115.0), and the lowest in terms of the level of Neuroticism (M = 72.15) (Table 3).
The levels of individual traits (subscales) regarding the five personality dimensions are presented in Table 4. Within the Neuroticism dimension, the athletes obtained the highest scores for vulnerability to stress/fear/learned helplessness (14.31) and hostility/anger (13.06). In terms of Extraversion, the highest results were related to gregariousness/sociability (23.54), and in terms of openness to experience—values/psychological liberalism/tolerance to ambiguity (21.05). Among the features of the conscientiousness dimension, the highest scores were obtained in terms of straightforwardness/morality (22.97), and the lowest in terms of compliance/cooperation (18.00), while among the features of the conscientiousness dimension, high scores were obtained for duty/obligation (24.71), and low for deliberation/consciousness (16.47) (Table 4).

3.3. Correlations between Personality Traits and Diet Health Quality of Athletes

In Table 5, correlations are presented between personality traits and diet health quality indices, and between personality traits as well as the daily frequency of consuming products with potentially beneficial and potentially unfavourable effects on health. It has been shown that the pro-healthy diet index (pHDI-10) decreased with increasing Neuroticism (r = −0.17), while it experienced a rise with increasing Extraversion (r = 0.13). Furthermore, the non-healthy diet index (nHDI-14) decreased with an increase in the level of Agreeableness (r = −0.17) (p < 0.05). It was shown that among the products with potentially beneficial effects on health, athletes consumed milk (R = 0.16) and vegetables (R = 0.15) more frequently as Extraversion increased, while they consumed sea fish (R = −0.14) and vegetables (R = −0.20) less often with increasing Neuroticism. Along with the increase in openness, the participants consumed legumes less frequently (R = −0.17); with increasing Agreeableness, they ate vegetables less often (R = −0.17), and with increasing Conscientiousness, they consumed vegetables at a higher frequency (R = 0.16) (p < 0.05). It has also been demonstrated that among products with potentially adverse health effects, with increasing Openness to Experience, the frequency of consuming refined cereal products (R = −0.17) and fried foods (R = −0.17) decreased as Extraversion increased. With the rise in Extraversion, the intake of sweets and confectionery products (R = 0.16) intensified, and with increasing Agreeableness, the frequency of drinking alcoholic beverages also increased (R = 0.16) (p < 0.05).
The analysis of correlations between the characteristics (subscales) of individual personality dimensions and the health quality of the athletes’ diet is presented in Table 6. It has been shown that the pro-healthy diet index (pHDI-10) increased with the decrease of several Neuroticism traits, including anxiety (R = −0.16), hostility/anger (R = −0.14), depression (R = −0.20) and self-consciousness (R = −0.15), as well as with the increase in the level of one of the features of Extraversion, i.e., activity level/lively temperament (R = 0.14). The pHDI-10 index also increased with the decrease in the level of one of the Agreeableness features, i.e., modesty (R = −0.17). In turn, the non-healthy diet index (nHDI-14) decreased with an increase in the level of one of the features of Openness to Experience, i.e., fantasy/imagination (R = −0.14), and with an increase in the level of one of the features of Agreeableness, i.e., trust—in others (R = −0.14) (p < 0.05). No significant correlations were found between the features (subscales) of Conscientiousness and the indices of diet health quality among the studied athletes (p > 0.05) (Table 6).
Multiple regression analysis (dependent variables: pHDI-10 and nHDI-14, predictors: personality traits of the big five model) allowed to show that the full model consisting of all analysed personality traits explains 91.8% of the variance for the pHDI-10 index, with significant predictors being Extraversion (positive correlation) and Neuroticism (negative correlation). This model also explains 88.2% of the variance in the level of the nHDI-14 index, with significant predictors being Extraversion, Agreeableness and Neuroticism (positive correlations) (Table 7).

4. Discussion

The research discussed in this paper allowed us to demonstrate a low level of diet health quality, a low level of neuroticism and significant correlations between certain personality dimensions and health quality indices of the diet among Polish team athletes (males).
When discussing the results in terms of diet health quality, referring to the applied methodology [10], a low level of the pro-healthy (19.16 points) and non-healthy diets (15.69 points) was shown. This should be interpreted as a limited, both positive and negative impact of diet on the health of the athletes under study. The low level of the pro-healthy diet index (pHDI-10) among athletes was related to the low frequency of consuming recommended products, including fruits and vegetables, wholemeal bread and other low-milled cereal products and legumes, as well as milk, dairy products and sea fish. These are products with high nutritional density, containing, among others, antioxidant substances, dietary fibre and omega-3 polyunsaturated acids, as well as probiotics, ingredients with significant pro-health values, including active ones, e.g., in the prevention of cardiovascular, metabolic and neoplastic diseases [28,29,30,31]. Due to the increased formation of free radicals under conditions of vigorous exercise, a diet rich in vegetables, fruits, legumes and specific products containing antioxidant ingredients (including polyphenols and vitamins C, E and carotenoids) is important for restoring pro-oxidative-antioxidant balance and reducing oxidative stress indices in athletes [31,32,33,34].
The demonstrated low level of the pro-healthy diet among elite Polish team athletes corresponds to nutritional, quantitative and qualitative irregularities shown in various groups of athletes, including those training team disciplines, both in Poland [35,36] and in other countries [37,38,39,40,41,42,43]. Varying levels of diet quality indices among athletes have also been found in various studies. High health quality of the diet (based on the athlete diet index, ADI), related to the sufficient consumption of recommended products, including vegetables, cereals and dairy, was described among Australian athletes of individual and team sports [44]. On the other hand, in Brazilian studies (using the healthy eating index, HEI), a low health quality of the diet was confirmed in approximately 73% of the group of athletes training volleyball, indicating a low supply of vitamins A and E [45]. An average level of diet quality (according to the HEI index) was described among athletes practicing team [46] and individual sports [47], and among academic athletes [48]. In Poland, the low health quality of diet (based on HDI indices) has also been described among young football players [49] and in other groups of individuals undertaking increased levels of physical activity, including physical education students [19,50] and aging masters athletes [51].
In our research, it was further shown that in terms of personality profile, the elite group of Polish team athletes was characterised by the highest scores regarding dimensions of conscientiousness, agreeableness, extraversion and openness, and the lowest in terms of neuroticism. Comparing raw scores to sten norms (for men aged 17–29 and 30–79) [27], it can be indicated that the studied athletes were characterised by a high level of conscientiousness, agreeableness, extraversion and openness (7–8 sten, depending on age) and a low level of neuroticism (3–4 sten, depending on age).
In our study, it was also shown that the elite group of Polish team athletes was characterised by a high level of the Conscientiousness, Agreeableness and Extraversion dimensions, a lower level of Openness to Experience, while the lowest level was Neuroticism in terms of the personality profile. It should also be pointed out that it is not the intention of the authors to conduct an advanced analysis of the personality profile of athletes, but only to comprise a general characteristic of the personality traits’ configuration to such an extent that it constitutes a background for the assessment of psychological determinants regarding diet health quality.
In further studies on the personality of athletes, different trends were shown. Athletes practicing team sports (football, handball and water polo) obtained the highest scores in terms of Openness to Experience, Agreeableness and Extraversion, but lower values in terms of Conscientiousness, and the lowest with regard to Neuroticism [52]. Similarly, in the next group of athletes performing team sports, the highest levels of Openness to Experience and the lowest of Neuroticism were demonstrated [53]. Therefore, it may be concluded that, despite the different configuration of features, the trend occurring in the majority of studies conducted among professional athletes is the lowest intensity of the Neuroticism dimension among the features included in the Costa and McCrae five-factor model. The low level of Neuroticism among athletes was also confirmed among Polish athletes by other authors [20], especially with regard to championship athletes [54,55].
Furthermore, statistically significant relationships were exhibited in our study between the personality traits of the big five model (and their subscales) and the assessed indices of diet health quality (however, mostly weak). In terms of the diet health quality indicators, predictive significance of Neuroticism, Extraversion and Agreeableness was found. The performed multiple regression analysis confirmed a very high share of the analysed personality traits in explaining the variance of diet quality indicators (above 88%). High Neuroticism (and its subscales: high anxiety, hostility/anger, depression and self-consciousness) was associated with a decrease in the health quality of the diet (i.e., a decrease in the pHDI-10 pro-healthy diet index) and a decrease in the frequency of consuming products with high nutritional density (e.g., vegetables and sea fish). High Extraversion (and its subscale: high activity level/lively temperament) was associated with an increase in the overall pro-healthy diet index (pHDI-10) and with a greater frequency of consuming products having high nutritional value (including vegetables and milk). High Agreeableness (and its subscales: high fantasy/imagination and high trust in others) was associated with a lower non-healthy diet index (nHDI-14), while high modesty was connected with a lower level of the pro-healthy diet index. On the other hand, significant correlations were found between some personality traits and the frequency of consuming individual products with potentially beneficial and potentially unfavourable effects on health, while unambiguous positive trends were shown only in terms of Conscientiousness (with its intensification, the consumption of vegetables increased). Other relationships were less clear.
The obtained results confirm the difficulties in unambiguous assessment of the relationship between personality traits and diet, including its health quality. The greatest number of unambiguous correlations at the level of overall nutritional indices was noted for Neuroticism (indicating its negative predictive importance for the health quality of diet) and Extraversion (indicating its positive predictive importance for the health quality of the diet). One can also indicate the dimension of Openness to Experience (with an indication of the positive meaning of one of the fantasy/imagination subscales).
Similar correlations between personality traits and food choices among various population groups were also described at others research centres, including in our previous studies. In analogous trials carried out among academic youth performing increased levels physical activity (Polish and Spanish physical education students), partially similar regularities were shown. It was noted among PE students that with the intensification of Extraversion, the level of both diet health quality indices (pHDI-10 and nHDI-14) increased (in Polish team athletes, only pHDI-10). At the same time, with increasing Openness to Experience and Agreeableness, the value of the non-healthy diet index (nHDI-14) decreased (in Polish team athletes, this relationship occurred only for Agreeableness). Along with the increase in the level of Conscientiousness, the pro-health quality of the diet increased (pHDI-10 index), which was not noted among the athletes under study [19]. At the level of personality relationships with the consumption of products recommended and not recommended in the diet, high correlations were noted for Extraversion and Conscientiousness with the consumption of fruit and vegetables, high Extraversion with the consumption of sweets and confectionery, and high Neuroticism with a low consumption of sea fish [19]. The indicated tendencies are consistent with the regularities described among the evaluated athletes performing team sports. The significance of personality traits for the quality of food choices was also described among academic youth from New Zealand (here, a positive correlation was found between Extraversion and fruit consumption) [17] and among students from Ghana (here, inter alia, between Extraversion and interest in new food products, associations of Agreeableness with irregular consumption of meals and Conscientiousness with a variety of diets and limiting sugar consumption) [18]. In contrast to our study, in research carried out among the Indonesian population, it has been shown that Conscientiousness is the only personality dimension that is clearly positively related to rational food choices [56]. Nonetheless, conclusions from other studies correspond to the results obtained in our research under discussion. Other studies conducted in Indonesia aimed at assessing the relationship between personality traits and body mass index (BMI), and demonstrated that individuals with excess body mass were less extroverted (i.e., more introverted) than people with normal body mass, which may indirectly indicate more rational food choices (and greater physical activity) of more extroverted people [57]. Research on the relationships of personality traits, eating behaviours and the BMI factor was also undertaken in the Australian population, which allowed the confirmation (among other findings) that nutrition, also applied in the Australian population, was considered a healthy pattern based on plant foods (vegetables, fruits, legumes) and fish was positively associated with Openness, Conscientiousness and emotional stability, and that BMI was negatively correlated with Conscientiousness and emotional stability, and positively with Agreeableness [58]. The cited Australian studies correspond with the results obtained for Polish team athletes with regard to correlations between low neuroticism levels and higher diet quality.
It may be summarised that various studies on personality determinants of nutritional behaviours in different population groups sometimes yield varied and ambiguous results. Nonetheless, the obtained results can be of practical usage for strategies aimed at changing (nutritional) behaviour due to the potential possibility of an interaction consistent with personality traits, assuming that personality is a rather permanent configuration of traits. However, further research conducted with interdisciplinary teams is needed to explain the mechanisms of the observed dependencies, which has also been pointed out by other authors [56].
Nutritional irregularities demonstrated among athletes justify the need to monitor diet and nutritional education, taking individualisation of effects promoting a healthy diet into account. Assessing the predictive significance of personality traits included in the big five model, in accordance with the sports nutrition model, should contribute to the effective rationalisation of diet through the individualisation of potential educational and dietary interactions due to the possibility of developing a strategy cohesive with personality profile.
The limitations of the work are primarily related to the lack of including demographic and sports variables (age, professional experience, discipline) in the analysed variables, taking one selected nutritional area (diet quality) into account and the self-report nature of the research tools used. It should also be highlighted that the achieved results only relate to men. The indicated and other limitations may determine the directions of further research, the aim and subject of which should be a comprehensive assessment of personality determinants regarding various areas of sports nutrition, taking age, gender, sports level and type of discipline into account. Further research in this area may include personality determinants of nutritional behaviours, including post-exercise nutrition and the use of dietary supplements (including ergogenic aids) by athletes. An important field in future research could also be the assessment of potential relationships between personality profile and quantitative aspects of sports nutrition (i.e., with the supply of energy and nutrients).

5. Conclusions

1. Among Polish team athletes, low levels of pro-healthy (pHDI-10) and unhealthy (nHDI-14) diet indices have been demonstrated, which means a low, both protective and negative impact of the diet on health.
2. High-class athletes training team sports are characterised by a high level of Conscientiousness, Agreeableness, Extraversion and Openness with a low level of Neuroticism.
3. Significant correlations between personality traits according to the big five model and the health quality of the Polish team athletes’ (males) diets were demonstrated, while the pro-healthy diet index (pHDI-10) decreased with increasing Neuroticism, and increased with increasing Extraversion. At the same time, the non-healthy diet index (nHDI-14) decreased as the level of Agreeableness increased; however, the strength of the correlations was low. At the same time, the greatest number of features negatively related to diet health quality was described in terms of the Neuroticism dimension (high level of anxiety, hostility/anger, depression and self-consciousness). Thus, the predictive significance of personality traits for the quality of sports nutrition choices was confirmed.
4. The obtained results indicate the validity of dietary monitoring and nutritional education in rationalising the diet and improving the health quality of (male) Polish team athletes’ diets. The correlations between personality traits and the quality of diet are not fully unambiguous and require further research so that they could serve the effective individualisation of educational and dietary interactions among the Polish team athletes.

Author Contributions

Conceptualisation, M.G. and A.W.; methodology, M.G. and A.W.; software, A.W.; validation, M.G. and A.W.; formal analysis, M.G. and A.W.; investigation, A.P.; resources, M.G., A.W. and A.P.; data curation, A.P.; writing—original draft preparation, M.G.; writing—review and editing, A.W.; visualization, M.G.; supervision, M.G. and A.W.; project administration, M.G. and A.P.; funding acquisition, M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This publication was financed within the framework of the programme of the Minister of Science and Higher Education under the name “Regional Initiative of Excellence” in 2019–2022, project number 022/RID/2018/19, in the amount of PLN 11,919,908.

Institutional Review Board Statement

The research project was approved by the Bioethics Committee of the District Medical Chamber (105/KBL/OIL/2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Calleja-González, J.; Terrados, N.; Mielgo-Ayuso, J.; Delextrat, A.; Jukic, I.; Vaquera, A.; Torres, L.; Schelling, X.; Stojanovic, M.; Ostojic, S.M. Evidence-based post-exercise recovery strategies in basketball. Physician Sportsmed. 2016, 44, 74–78. [Google Scholar] [CrossRef] [PubMed]
  2. Molfetas, A.; Hatzimanouil, D.; Papadopoulou, Z.; Skandalis, V.; Vrabas, S.J. Analyses of technical and tactical data in attack and defense at high level handball teams. J. Phys. Educ. Sport 2019, 19, 193–200. [Google Scholar]
  3. Piepiora, P. A review of personality research in sport. Pedagog. Psychol. Sport 2020, 6, 64–83. [Google Scholar] [CrossRef]
  4. Thomas, D.T.; Erdman, K.A.; Burke, L.M. American College of sports medicine joint position statement. Nutrition and athletic performance. Med. Sci. Sport. Exerc. 2016, 48, 269–276. [Google Scholar]
  5. Kerksick, C.M.; Wilborn, C.D.; Roberts, M.D.; Smith-Ryan, A.; Kleiner, S.M.; Jäger, R.; Collins, R.; Cooke, M.; Davis, J.N.; Galvan, E.; et al. ISSN exercise & sports nutrition review update: Research & recommendations. J. Int. Soc. Sport. Nutr. 2018, 15, 1–57. [Google Scholar]
  6. Burke, L.M. A Food Pyramid for Swiss Athletes. Int. J. Sport Nutr. Exerc. Metab. 2008, 18, 430–437. [Google Scholar] [CrossRef] [Green Version]
  7. Krebs-Smith, S.M.; Pannucci, T.E.; Subar, A.F.; Kirkpatrick, S.I.; Lerman, J.L.; Tooze, J.A.; Wilson, M.M.; Reedy, J. Update of the Healthy Eating Index: HEI-2015. J. Acad. Nutr. Diet. 2018, 118, 1591–1602. [Google Scholar] [CrossRef] [Green Version]
  8. Hlaing-Hlaing, H.; Pezdirc, K.; Tavener, M.; James, E.L.; Hure, A. Diet Quality Indices Used in Australian and New Zealand Adults: A Systematic Review and Critical Appraisal. Nutrients 2020, 12, 3777. [Google Scholar] [CrossRef]
  9. Zarrin, R.; Ibiebele, I.T.; Marks, G.C. Development and validity assessment of a diet quality index for Australians. Asia Pac. J. Clin. Nutr. 2013, 22, 177–187. [Google Scholar]
  10. Jezewska-Zychowicz, M.; Gawecki, J.; Wadolowska, L.; Czarnocinska, J.; Galinski, G.; Kollajtis-Dolowy, A.; Roszkowski, W.; Wawrzyniak, A.; Przybylowicz, K.; Krusinska, B.; et al. Dietary Habits and Nutrition Beliefs Questionnaire for People 15–65 Years Old, Version 1.1—Interviewer Administered Questionnaire. In Dietary Habits and Nutrition Beliefs Questionnaire and the Manual for Developing of Nutritional Data; Gawecki, J., Ed.; The Committee of Human Nutrition, Polish Academy of Sciences: Olsztyn, Poland, 2017; Chapter 1; ISBN 978-83-950330-0-1. [Google Scholar]
  11. Birkenhead, K.L.; Slater, G. A Review of Factors Influencing Athletes’ Food Choices. Sport. Med. 2015, 45, 1511–1522. [Google Scholar] [CrossRef]
  12. Noll, M.; De Mendonça, C.R.; De Souza Rosa, L.P.; Silveira, E.A. Determinants of eating patterns and nutrient intake among adolescent athletes: A systematic review. Nutr. J. 2017, 16, 46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Pelly, F.E.; Thurecht, R.L.; Slater, G. Determinants of Food Choice in Athletes: A Systematic Scoping Review. Sport. Med. Open 2022, 8, 77. [Google Scholar] [CrossRef] [PubMed]
  14. McCrae, R.R.; Sutin, A.R. A Five–Factor Theory Perspective on Causal Analysis. Eur. J. Pers. 2018, 32, 151–166. [Google Scholar] [CrossRef]
  15. Vassend, O.; Skrondal, A. The NEO personality inventory revised (NEO-PI-R): Exploring the measurement structure and variants of the five-factor model. Pers. Individ. Differ. 2011, 50, 1300–1304. [Google Scholar] [CrossRef]
  16. Costa, P.T.; McCrae, R.R. Revised NEO Personality Inventory (NEO-PI-R) and NEO Five Factor Inventory (NEOFFI) Professional Manual; Psychological Assessment Resources: Odessa, FL, USA, 1992. [Google Scholar]
  17. Conner, T.S.; Thompson, L.M.; Knight, R.L.; Flett, J.A.M.; Richadson, A.C.; Brookie, K.L. The Role of Personality Traits in Young Adult Fruit and Vegetable Consumption. Front. Psychol. 2017, 8, 119. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Intiful, F.D.; Oddam, E.G.; Kretchy, I.; Quampah, J. Exploring the relationship between the big five personality characteristics and dietary habits among students in a Ghanian University. BMC Psychol. 2019, 7, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Gacek, M.; Kosiba, G.; Wojtowicz, A. Personality Determinants of Diet Quality among Polish and Spanish Physical Education Students. Int. J. Environ. Res. Public Health 2021, 18, 466. [Google Scholar] [CrossRef]
  20. Lipowski, M.; Bieleninik, Ł. Personality superfactors and healthy behaviors of professional athletes. Curr. Issues Personal. Psychol. 2014, 2, 57–67. [Google Scholar] [CrossRef] [Green Version]
  21. Raynor, D.A.; Levine, H. Associations between the five-factor model of personality and health behaviors among college students. J. Am. Coll. Health 2009, 58, 73–82. [Google Scholar] [CrossRef]
  22. Brinkman, C.S.; Weinberg, R.S.; Ward, R.M. The Big Five personality model and self-determined motivation in sport. Int. J. Sport Psychol. 2016, 47, 389–407. [Google Scholar]
  23. Sutin, A.R.; Stephan, Y.; Luchetti, M.; Artese, A.; Oshio, A.; Terracciano, A. The five-factor model of personality and physical activity: A meta-analysis of 16 samples. J. Res. Personal. 2016, 63, 22–28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Gacek, M.; Kosiba, G.; Wojtowicz, A.; López Sánchez, G.F.; Szalewski, J. Personality-Related Determinants of Physical Activity Among Polish and Spanish Physical Education Students. Front. Psychol. 2022, 12, 792195. [Google Scholar] [CrossRef] [PubMed]
  25. Li, C.; Kee, Y.H.; Wang, X.; Guo, Q. The big five personality traits and physical and emotional exhausting among athletes: The mediating role of autonomous and controlled motivation. Int. J. Sport Psychol. 2018, 49, 1–16. [Google Scholar]
  26. Kowalkowska, J.; Wądołowska, L.; Czarnocińska, J.; Czlapka-Matyasik, M.; Galiński, G.; Jeżewska-Zychowicz, M.; Bronkowska, M.; Długosz, A.; Loboda, D.; Wyka, J. Reproducibility of a Questionnaire for Dietary Habits, Lifestyle and Nutrition Knowledge Assessment (KomPAN) in Polish Adolescents and Adults. Nutrients 2018, 10, 1845. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Siuta, J. Inwentarz Osobowości NEO-PI-R Paula T. Costy Jr i Roberta R. McCrae: Adaptacja Polska: Podręcznik [NEO-PI-R Personality Inventory by Paul T. Costa Jr and Robert R. McCrae: Polish Adaptation: Textbook]; Pracownia Testów Psychologicznych: Warsaw, Poland, 2006. [Google Scholar]
  28. Gantenbein, K.V.; Kanaka-Gantenbein, C. Mediterranean Diet as an Antioxidant: The Impact on Metabolic Health and Overall Wellbeing. Nutrients 2021, 13, 1951. [Google Scholar] [CrossRef]
  29. Barber, T.M.; Kabisch, S.; Pfeiffer, A.F.H.; Weickert, M.O. The Health Benefits of Dietary Fibre. Nutrients 2020, 12, 3209. [Google Scholar] [CrossRef] [PubMed]
  30. Shahidi, F.; Ambigaipalan, P. Omega-3 Polyunsaturated Fatty Acids and Their Health Benefits. Annu. Rev. Food Sci. Technol. 2018, 9, 345–381. [Google Scholar] [CrossRef]
  31. Barnard, N.D.; Goldman, D.M.; Loomis, J.F.; Kahleova, H.; Levin, S.M.; Neabore, S.; Batts, T.C. Plant-Based Diets for Cardiovascular Safety and Performance in Endurance Sports. Nutrients 2019, 11, 130. [Google Scholar] [CrossRef] [Green Version]
  32. Frączek, B.; Morawska, M.; Gacek, M.; Pogoń, K. Antioxidant activity as well as vitamin C and polyphenol content in the diet for athletes. Ital. J. Food Sci. 2019, 31, 617–630. [Google Scholar]
  33. Margaritelis, N.V.; Paschalis, V.; Theodorou, A.A.; Kyparos, A.; Nikolaidis, N.G. Antioxidants in Personalized Nutrition and Exercise. Adv. Nutr. Int. Rev. J. 2018, 9, 813–823. [Google Scholar] [CrossRef] [Green Version]
  34. Braakhuis, A.J.; Hopkins, W.G. Impact of Dietary Antioxidants on Sport Performance: A Review. Sport. Med. 2015, 45, 939–955. [Google Scholar] [CrossRef]
  35. Gacek, M. Sense of self-efficacy and the content of energy and nutrients in the diet of elite Polish basketball players. Rocz. Panstw. Zakl. Hig. 2022, 73, 183–189. [Google Scholar] [PubMed]
  36. Frączek, B.; Gacek, M.; Pięta, A.; Tyrała, F.; Mazur-Kurach, P.; Karpęcka, E. Dietary mistakes of Polish athletes in relations to the frequency of consuming foods recommended in the Swiss food pyramid for active people. Rocz. Panstw. Zakl. Hig. 2020, 71, 97–104. [Google Scholar] [PubMed]
  37. Vázquez-Espino, K.; Rodas-Font, G.; Farran-Codina, A. Sport Nutrition Knowledge, Attitudes, Sources of Information, and Dietary Habits of Sport-Team Athletes. Nutrients 2022, 14, 1345. [Google Scholar] [CrossRef] [PubMed]
  38. Klein, D.J.; Eck, K.M.; Walker, A.J.; Pellegrino, J.K.; Freidenreich, D.J. Assessment of Sport Nutrition Knowledge, Dietary Practices, and Sources of Nutrition Information in NCAA Division III Collegiate Athletes. Nutrients 2021, 13, 2962. [Google Scholar] [CrossRef] [PubMed]
  39. Jenner, S.L.; Trakman, G.; Coutts, A.; Kempton, T.; Ryan, S.; Forsyth, A.; Belski, R. Dietary intake of professional Australian football athletes surrounding body composition assessment. J. Int. Soc. Sport. Nutr. 2018, 15, 43. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Jenner, S.L.; Buckley, G.L.; Belski, R.; Devlin, B.L.; Forsyth, A.K. Dietary Intakes of Professional and Semi-Professional Team Sports Athletes Do Not Meet Sport Nutrition Reccomendations—A Systematic Literature Review. Nutrients 2019, 11, 1160. [Google Scholar] [CrossRef] [PubMed]
  41. Brinkmans, N.Y.J.; Iedema, N.; Plasqui, G.; Wouters, L.; Saris, W.H.M.; van Loon, L.J.C.; van Dijk, J.W. Energy expenditure and dietary intake in professional football players in the Dutch Premier League: Implications for nutritional counselling. J. Sport. Sci. 2019, 37, 2759–2767. [Google Scholar] [CrossRef] [PubMed]
  42. Steffl, M.; Kinkorova, I.; Kokstejn, J.; Petr, M. Macronutrient Intake in Soccer Players-A Meta-Analysis. Nutrients 2019, 11, 1305. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Lohman, R.; Carr, A.; Condo, D. Nutritional Intake in Australian Football Players: Sports Nutrition Knowledge and Macronutrient and Micronutrient Intake. Int. J. Sport Nutr. Exerc. Metab. 2019, 29, 289–296. [Google Scholar] [CrossRef]
  44. Capling, L.; Tam, R.; Beck, K.L.; Slater, G.J.; Flood, V.M.; Gifford, J.A. Diet Quality of Elite Australian Athletes Evaluated Using the Athlete Diet Index. Nutrients 2020, 13, 126. [Google Scholar] [CrossRef]
  45. Zanella, P.B.; August, P.M.; Lves, F.D.; Matte, C.; de Souza, C.G. Association of Healthy Index and oxidative stress in adolescent volleyball athletes and non-athletes. Nutrition 2019, 60, 230–234. [Google Scholar] [CrossRef] [PubMed]
  46. Jurgensen, L.P.; Daniel, N.V.S.; da Costa Padovani, R.; D’ Avila Lourenco, L.C.; Juzwiak, C.R. Assessment of the diet quality of team sports athletes. Rev. Bras. Cineantropometria Desempenho Hum. 2015, 17, 280–290. [Google Scholar]
  47. Jontony, N.; Hill, E.B.; Taylor, C.A.; Boucher, L.C.; O’Brien, V.; Weiss, R.; Spees, C.K. Diet Quality, Carotenoid Status, and Body Composition in NCAA Division I Athletes. Am. J. Health Behav. 2020, 44, 432–443. [Google Scholar] [CrossRef] [PubMed]
  48. Sweeney, M.L. Access to Fueling Stations is Not Associated with Diet Quality in Division I Athletes. Master’s Thesis, Ohio LINK Electronic Theses and Dissertations Center, Ohio State University, Columbus, OH, USA, 2020. [Google Scholar]
  49. Grabia, M.; Markiewicz-Żukowska, R.; Bielecka, J.; Puścion-Jakubik, A.; Socha, K. Effects of Dietary Intervention and Education on Selected Biochemical Parameters and Nutritional Habits of Young Soccer Players. Nutrients 2022, 14, 3681. [Google Scholar] [CrossRef] [PubMed]
  50. Popławska, H.; Dmitruk, A.; Kunicka, I.; Dębowska, A.; Hołub, W. Habits and knowledge about food and nutrition among physical education students depending on their level of higher education and physical activity. Pol. J. Sport Tour. 2018, 25, 35–41. [Google Scholar] [CrossRef] [Green Version]
  51. Ratajczak, J.; Czerniak, U.; Wieliński, D.; Ciekot-Sołtysiak, M.; Zieliński, J.; Gronek, P.; Demuth, A. Pro-Healthy Diet Properties and Its Determinants among Aging Masters Athletes. Int. J. Environ. Res. Public Health 2021, 18, 7614. [Google Scholar] [CrossRef]
  52. Trninić, V.; Trninić, M.; Penezić, Z. Personality Differences Between The Players Regarding The Type of Sport and Age. Acta. Kinesiol. 2016, 10, 69–74. [Google Scholar]
  53. Cutuk, S.; Kacay, Z.; Cutuk, Z.A. The Relationship between Prosocial and Antisocial Behaviors and Personality Traits in Team Athletes. Sak. Univ. J. Educ. 2021, 11, 182–194. [Google Scholar] [CrossRef]
  54. Piepiora, P.; Piepiora, Z. Personality Determinants of Success in Men’s Sports in the Light of the Big Five. Int. J. Environ. Res. Public Health 2021, 18, 6297. [Google Scholar] [CrossRef]
  55. Piepiora, P. Assessment of Personality Traits Influencing the Performance of Men in Team Sports in Terms of the Big Five. Front. Psychol. 2021, 12, 1–8. [Google Scholar] [CrossRef] [PubMed]
  56. Pristyna, G.; Mahmudiono, T.; Rifqi, M.A.; Indriani, D. The relationship between Big Five Personality Traits, eating habits, physical activity, and obesity in Indonesia based on analysis of the 5th wave Indonesia Family Life Survey (2014). Front. Psychol. 2022, 13, 881436. [Google Scholar] [CrossRef] [PubMed]
  57. Yusuf, A.; Suryanto, S.; Adi, A.C.; Putra, M.G.B.A. Type of Personality, Food Consumption and Physical Activity Levels as Determinants of Overweight and Obesity among Urban Adolescents. Health Notions 2018, 2, 525–530. [Google Scholar]
  58. Pfeiler, T.M.; Egloff, B. Personality and eating habits revisited: Associations between the big five, food choices, and Body Mass Index in a representative Australian sample. Appetite 2020, 149, 104607. [Google Scholar] [CrossRef]
Table
Table 1. Frequency of consuming products with potentially beneficial (pHDI-10) and potentially detrimental (nHDI-14) impact on health among the surveyed athletes (N = 213) (percentage of respondents).
Table 1. Frequency of consuming products with potentially beneficial (pHDI-10) and potentially detrimental (nHDI-14) impact on health among the surveyed athletes (N = 213) (percentage of respondents).
Indices/Food ProductsConsumption Frequency
123456
% of Study Participants
Potentially beneficial to health (pHDI-10)Fruits0.00.513.636.634.315.0
Vegetables0.04.224.941.326.33.3
Wholemeal bread12.730.531.918.85.60.5
Coarse grains, oatmeal, whole grain pasta2.813.143.240.40.50.0
Legumes6.135.737.619.21.40.0
Milk6.620.226.325.414.17.5
Fermented dairy products14.635.730.016.92.80.0
Fromage frais1.917.835.728.215.01.4
Dishes from poultry3.813.135.729.118.30.0
Dishes from fish1.424.934.726.312.70.0
Potentially detrimental to (nHDI-14) Light bread8.014.115.530.515.516.4
White rice, fine groats1.425.438.534.30.00.5
Yellow, blue and processed cheeses4.234.739.416.44.70.5
Cold-cuts, sausages, hot dogs1.41.415.028.630.523.0
Dishes from red meat2.818.840.827.79.40.5
Processed meats12.247.929.18.91.90.0
Fried dishes17.852.614.115.50.00.0
Butter14.18.926.822.516.910.8
Lard91.17.01.90.00.00.0
Fast food33.843.223.00.00.00.0
Sweets and confectionery1.47.027.232.419.212.7
Sweetened carbonated and non-carbonated drinks8.921.647.415.07.00.0
Energy drinks12.226.339.417.44.70.0
Alcoholic beverages19.257.321.61.90.00.0
Legend: (1) Never (2) 1–3 times a month (3) Once a week (4) A few times a week (5) Once a day (6) A few times a day.
Table
Table 2. Daily frequency of consuming products with potentially beneficial and potentially detrimental impact on health and value of pro-healthy (pHDI-10) and non-healthy (nHDI-14) diet indices (N = 213) among the studied athletes (N = 213) (descriptive statistics).
Table 2. Daily frequency of consuming products with potentially beneficial and potentially detrimental impact on health and value of pro-healthy (pHDI-10) and non-healthy (nHDI-14) diet indices (N = 213) among the studied athletes (N = 213) (descriptive statistics).
Indices/ProductsMSDMeMinMaxQ25Q75
pHDI-10Fruits0.850.570.500.062.000.501.00
Vegetables0.570.420.500.062.000.141.00
Wholemeal bread0.220.280.140.002.000.060.14
Coarse grains, oatmeal, whole grain pasta0.270.200.140.001.000.140.50
Legumes0.180.190.140.001.000.060.14
Milk0.470.540.140.002.000.060.50
Fermented dairy products0.180.220.060.001.000.060.14
Fromage frais0.380.380.140.002.000.140.50
Dishes from poultry0.390.340.140.001.000.140.50
Dishes from fish0.320.310.140.001.000.060.50
nHDI-14Light bread0.670.670.500.002.000.141.00
White rice, fine groats0.250.230.140.002.000.060.50
Yellow, blue and processed cheeses0.210.260.140.002.000.060.14
Cold-cuts, sausages, hot dogs0.930.661.000.002.000.501.00
Dishes from red meat0.310.310.140.002.000.140.50
Processed meats0.130.180.060.001.000.060.14
Fried dishes0.130.160.060.000.500.060.14
Butter0.540.610.500.002.000.141.00
Lard0.010.020.000.000.140.000.00
Fast food0.060.050.060.000.140.000.06
Sweets and confectionery0.650.600.500.002.000.141.00
Sweetened carbonated and non-carbonated drinks0.220.260.140.001.000.060.14
Energy drinks0.200.240.140.001.000.060.14
Alcoholic beverages0.070.070.060.000.500.060.06
IndicespHDI-10 (times/day)3.831.163.701.587.203.024.48
nHDI-14 (times/day)4.391.594.141.289.403.305.32
pHDI-10 (points)19.165.8018.507.9036.0015.1022.40
nHDI-14 (points)15.695.6714.794.5733.5711.7919.00
Legend: M arithmetic mean, SD standard deviation, Me median, Q25 lower quartile, Q75 upper quartile.
Table
Table 3. Level of personality traits according to the five-factor model among athletes training team sports (N = 213) (descriptive statistics).
Table 3. Level of personality traits according to the five-factor model among athletes training team sports (N = 213) (descriptive statistics).
Personality TraitsMSDMinMaxQ25MeQ75
Neuroticism72.1520.5523.0128.056.0071.0089.00
Extraversion121.8015.5270.00151.0111.0124.0133.0
Openness115.0013.9192.00141.0101.0115.0129.0
Agreeableness123.2013.1486.00146.0118.0126.0132.0
Conscientiousness128.5022.2283.00168.0111.0133.0144.0
Legend: M arithmetic mean, SD standard deviation, Me median, Q25 lower quartile, Q75 upper quartile.
Table
Table 4. The level of traits of individual personality dimensions in the five-factor model in the studied group of sportsmen training team games (N = 213) (descriptive statistics).
Table 4. The level of traits of individual personality dimensions in the five-factor model in the studied group of sportsmen training team games (N = 213) (descriptive statistics).
NeuroticismExtraversionOpenness to ExperienceAgreeablenessConscientiousness
MSD MSD MSD MSD MSD
N110.624.93E123.542.62O118.623.69A121.942.56C123.244.44
N213.064.19E220.073.93O217.103.13A222.973.55C220.535.30
N312.294.16E317.674.25O320.513.80A322.713.08C324.713.78
N412.974.27E421.474.39O418.163.04A418.003.58C421.894.39
N514.315.38E516.535.12O519.513.77A518.864.70C521.614.38
N68.913.30E622.502.53O621.052.78A618.682.57C616.473.72
Legend: M arithmetic mean, SD standard deviation; N1 anxiety, N2 hostility/anger, N3 depression, N4 impulsiveness/immoderation, N5 vulnerability to stress/fear/learned helplessness, N6 self-consciousness; E1 gregariousness/sociability, E2 warmth/kindness, E3 assertiveness, E4 activity level/lively temperament, E5 excitement seeking, E6 positive emotion; O1 fantasy/imagination, O2 aesthetics/artistic interest, O3 feelings/emotionality, O4 action/adventurousness/exploration, O5 ideas/intellectual interest/curiosity, O6 values/psychological liberalism/tolerance to ambiguity; A1 trust in others, A2 straightforwardness/morality, A3 altruism, A4 compliance/cooperation, A5 modesty, A6 tendermindedness/sympathy; C1 competence/self-efficacy, C2 order(liness)/organising, C3 dutifulness/sense of duty/obligation, C4 achievement striving, C5 self-discipline, C6 self-discipline/willpower, deliberation/consciousness.
Table
Table 5. Correlations between the personality traits of the five-factor model and the indices of pro-healthy (pHDI-10) and non-healthy (nHDI-14) diets, personality traits as well as the daily frequency of consuming products with potentially beneficial and potentially adverse effects on health (N = 213) (Pearson’s r and Spearman’s R signed rank correlation coefficients).
Table 5. Correlations between the personality traits of the five-factor model and the indices of pro-healthy (pHDI-10) and non-healthy (nHDI-14) diets, personality traits as well as the daily frequency of consuming products with potentially beneficial and potentially adverse effects on health (N = 213) (Pearson’s r and Spearman’s R signed rank correlation coefficients).
Indices/ProductsNEOAC
Pearson’s r
IndicespHDI−10−0.17 *0.13 *−0.00−0.060.02
nHDI−140.010.11−0.01−0.17 *−0.01
Spearman’s R
Products from the pHDI−10 groupWholemeal bread−0.080.080.00−0.080.04
Coarse grains, oatmeal, whole grain pasta0.080.12−0.000.01−0.02
Milk−0.030.16 *−0.04−0.040.02
Fermented dairy products0.01−0.14 *0.040.05−0.00
Fromage frais−0.030.13−0.02−0.10−0.02
Dishes from white meat0.18 *−0.03−0.000.06−0.07
Fish, seafood−0.14 *−0.060.08−0.090.10
Legumes−0.080.04−0.17 *−0.13−0.04
Fruits−0.05−0.00−0.020.09−0.00
Vegetables−0.20 *0.15 *0.11−0.17 *0.16 *
Products from the nHDI−14 groupLight bread0.040.050.130.02−0.03
White rice, normal pasta, small groats0.100.00−0.17 *−0.120.00
Fast food0.00−0.090.000.13−0.01
Fried dishes (meat, flour−based)0.06−0.00−0.17 *0.05−0.02
Butter0.09−0.02−0.040.090.02
Lard−0.08−0.02−0.070.000.07
Yellow, blue and processed cheeses−0.11−0.050.09−0.030.13
Cold−cuts, sausages and hot dogs0.060.07−0.01−0.13−0.05
Dishes from red meat−0.010.02−0.02−0.10−0.08
Sweets and confectionery0.000.16 *−0.05−0.09−0.03
Processed meats0.00−0.04−0.10−0.01−0.00
Sweetened carbonated and non−carbonated drinks0.010.050.01−0.11−0.06
Energy drinks0.00−0.03−0.010.080.03
Alcoholic beverages0.04−0.03−0.100.16 *−0.09
* p < 0.05; N Neuroticism, E Extraversion, O Openness to Experience, A Agreeableness, C Conscientiousness.
Table
Table 6. Correlations between the subscales of personality dimensions and indices of diet health quality among the studied athletes training team sports (N = 213) (Spearman’s rank coefficient values).
Table 6. Correlations between the subscales of personality dimensions and indices of diet health quality among the studied athletes training team sports (N = 213) (Spearman’s rank coefficient values).
Main Dimensions of PersonalityTraits—Subscales of Personality DimensionspHDI−10nHDI−14
NeuroticismN1—Anxiety−0.16 *−0.04
N2—Hostility/Anger−0.14 *0.07
N3—Depression−0.20 *−0.02
N4—Impulsiveness/Immoderation−0.11−0.02
N5—Vulnerability to stress/Fear/Learned helplessness−0.090.13
N6—Self−consciousness−0.15 *0.08
ExtraversionE1—Gregariousness/Sociability0.04−0.04
E2—Warmth/Kindness0.050.08
E3—Assertiveness0.120.06
E4—Activity level/Lively temperament0.14 *−0.04
E5—Excitement seeking0.050.10
E6—Positive emotion0.070.05
Openness to ExperienceO1—Fantasy/Imagination−0.09−0.14 *
O2—Aesthetics/Artistic interest0.01−0.04
O3—Feelings/Emotionality0.090.02
O4—Action/Adventurousness/Exploration0.070.03
O5—Ideas/Intellectual interest/Curiosity−0.11−0.10
O6—Vales/Psychological liberalism/Tolerance to ambiguity0.030.10
AgreeablenessA1—Trust—in others0.05−0.14 *
A2—Straightforwardness/Morality−0.04−0.09
A3—Altruism−0.03−0.11
A4—Compliance/Cooperation−0.08−0.06
A5—Modesty−0.17 *−0.10
A6—Tendermindedness/Sympathy0.01−0.05
ConscientiousnessC1—Competence/Self−efficacy0.07−0.02
C2—Order(lines)/Organising0.02−0.01
C3—Dutifulness/Sense of duty/Obligation0.04−0.05
C4—Achievement striving0.070.03
C5—Self−discipline/Willpower0.03−0.07
C6—Deliberation/Consciousness−0.040.03
* p < 0.05.
Table
Table 7. Correlations between indices of diet health quality (pHDI-10 and nHDI-14) and personality traits in the big five model (multiple regression analysis).
Table 7. Correlations between indices of diet health quality (pHDI-10 and nHDI-14) and personality traits in the big five model (multiple regression analysis).
VariablesR2seb*Std. Error
from b*		BStd. Error from b
pHDI-10Extraversion0.9181.1550.6080.1010.0200.003
Agreeableness0.4970.1180.0160.004
Neuroticism−0.1490.074−0.0080.004
nHDI-14Extraversion0.8821.6130.6770.1210.0260.005
Agreeableness0.1730.1410.0070.005
Neuroticism0.0970.0880.0060.006
R2 multidimensional coefficient of determination; Standard error of estimation; b* standardised partial regression coefficient.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Gacek, M.; Wojtowicz, A.; Popek, A. Personality Determinants of Diet Health Quality among an Elite Group of Polish Team Athletes. Int. J. Environ. Res. Public Health 2022, 19, 16598. https://doi.org/10.3390/ijerph192416598

AMA Style

Gacek M, Wojtowicz A, Popek A. Personality Determinants of Diet Health Quality among an Elite Group of Polish Team Athletes. International Journal of Environmental Research and Public Health. 2022; 19(24):16598. https://doi.org/10.3390/ijerph192416598

Chicago/Turabian Style

Gacek, Maria, Agnieszka Wojtowicz, and Adam Popek. 2022. "Personality Determinants of Diet Health Quality among an Elite Group of Polish Team Athletes" International Journal of Environmental Research and Public Health 19, no. 24: 16598. https://doi.org/10.3390/ijerph192416598

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop