Skip to main content
International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2022 Feb 18;19(4):2336. doi: 10.3390/ijerph19042336

Both Gender and Agonistic Experience Affect Perceived Pain during the Cold Pressor Test

Pierluigi Diotaiuti 1,*, Stefano Corrado 1, Stefania Mancone 1, Marco Palombo 1, Angelo Rodio 1, Lavinia Falese 1, Elisa Langiano 1, Thaìs Cristina Siqueira 2, Alexandro Andrade 2
Editor: José Carmelo Adsuar Sala
PMCID: PMC8872125  PMID: 35206523

Abstract

Background. Differences in pain perception in athletes have recently been highlighted in the literature. Objectives. To compare gender ratings of perceived pain in athletes with low and high agonistic experiences (N = 200) using the Cold Pressor Test (CPT). Methods. A three-way repeated measures ANOVA to assess both the effects of the athletes’ gender and lower vs. higher agonistic experiences in the intensity of perceived pain at the beginning of the cold box hand immersion (L0) and after a 90 s interval (L1). Results. There was a statistically significant interaction effect between the level of the agonistic experience and gender in the two moments: p < 0.001; ηp2 = 0.266; F(1,49) = 9.771. Simple main effects analysis showed a significative difference for females at L0: F(1,99) = 93.567, p < 0.025, partial η2 = 0.302) and for males at L1: F(1,99) = 173.420, p < 0.025, partial η2 = 0.666. At the initial moment of CPT, the female athletes showed significantly higher perceived intensity than males, regardless of their experience level. After a 90 s interval, a significantly lower pain perception effect associated with the increased competitive experience of male athletes was observed. Female athletes did not appear to benefit from the experience effect on their pain tolerance. Conclusions. The study confirmed a significant difference in pain perception associated with the athletes’ gender and agonistic experience. Separate explanations related to the pattern of pain inhibition and the acquired reduction in pain sensitivity are reported.

Keywords: athletes, gender, agonistic experience, pain tolerance, cold pressor test, temporal summation of pain

1. Introduction

Several studies have shown that athletes generally perceive less pain than non-athletes [1,2], and current contributions provide evidence that antinociceptive effects are dependent on the intensity of exercise [3]. Research has also shown gender differences in pain perception [4,5]. Emerging evidence suggests that genotype and endogenous opioid functioning play a causal role in these disparities, and considerable literature implicates sex hormones as factors influencing pain sensitivity [6,7]. Several studies have investigated the relationship between gender and pressure pain sensitivity, and most results found that females have significantly lower pain thresholds than males [8,9,10]. One possible mechanism contributing to gender differences in pain sensitivity might be differences in the activation of conditioned pain modulation (CPM), namely, the decreased sensitivity response to a conditioning pain stimulus (e.g., pressure, cold water or ischemia) [11,12].

Gender differences could also be explained with the help of a multifactorial model of pain, according to which biological, psychological and social factors interact in the perception of pain [13,14]. It appears that gender-role expectations of pain do play a part in determining an individual’s pain report and may be contributing to the gender differences in the laboratory setting [15].

Although sport-related research on pain is scarce, within the context of athletic performance a different set of social learning factors may be operating [16,17,18]. A recent investigation using the cold-water pressor test examined differences in pain perception between university athletes and sedentary controls, and it has been found that the athletes reported less pain than the sedentary individuals, with men reporting less pain than women [19]. Regression analyses revealed that catastrophizing accounted for differences between men and women as to pain perception. While for men it appears that anxiety influences the perception of pain, women tend more towards a catastrophic approach to pain, which includes rumination, which prevents them from suppressing or diverting attention from pain-related thoughts to focus on other things, a tendency to exaggerate the unpleasantness of pain and the expectation of negative outcomes and a sense of helplessness, which reflects the inability to do anything effective to manage the moment. The incidence of catastrophic disposition and self-efficacy evaluation on pain perception has also been recently corroborated in further studies [20,21].

Further research has shown that for men, the stimulus of competition appears to be decisive in mobilising the body’s pain-relieving resources, whereas women could achieve a comparable pain-relieving effect through exercise alone [22].

In any case, as athletes progress in training and experience, they seem to be able to tolerate more pain than their non-trained counterparts [23]. The contribution of competitive experience in pain tolerance can be traced back to three relevant aspects: increased athletic work, the strengthening of coping strategies and greater social reinforcement. With regard to the first element, it is plausible that athletes with greater experience (also understood in terms of the competitive level achieved: regional, national or international) accumulate greater volumes of training over time. These evolve in terms of frequency, articulation and intensity, the greater number of competitions faced and the greater familiarity with painful experiences such as injuries. All this can significantly influence the modulatory process of perceived pain at a neurophysiological level [24,25,26].

The second element considered is the progressive strengthening of coping strategies. Some athletes have natural predispositions to such higher psychological resistance to pain, but most sportspeople need to develop it, identifying which coping strategies they could use to maintain their physical involvement despite being in pain. Such strategies include distraction from pain, praying, reinterpreting pain sensations, ignoring pain and pain catastrophizing [27]. Recent studies have attributed this greater adaptation to pain tolerance to the progressive experience of control of the situation [28,29,30] and to the development of a strong awareness that allows perceived painful sensations to be ignored [31,32,33,34,35].

With regard to the third element, a greater competitive experience provides the athlete with progressive social reinforcement (from the context of reference) and awareness of competence. Athletes who have publicly demonstrated that they have overcome difficult, burdensome and painful challenges increases their level of self-esteem and personal self-efficacy, feeling increasingly confident in the possibility of successfully dealing with further painful experiences [36,37]. The influence of the expectations of the sporting environment must also be pointed out: being immersed in the elite sport culture encourages the normalisation of pain and injury, and it is widely accepted that athletes, regardless of gender, internalise pain and injury as ‘normal’ in sport [38,39].

By adopting a multidimensional model of pain as a theoretical framework, the component factors of the model (sensory-discriminative, affective-motivational, cognitive-evaluative) are not considered as independent, but rather, they interact with one another [13,14]. The subsequent explanatory hypotheses of subjective pain sensitivity in athletes should also consistently focus on the interaction of the component variables, rather than on the identification of a dominant factor (be it physiological, psychological or social). For these reasons, our work is aimed at testing the interaction between gender and the components of the athlete’s experience as explanatory of variation in perceived pain.

A relevant aspect of the pain experience is the possible perception of a progressive increase in the intensity of the stimulus over time. This evaluation is usually conducted through the paradigm of the Temporal Summation of Pain (TSP). The TSP paradigm is the experimental model that is most frequently used to study endogenous excitatory pain mechanisms (e.g., central sensitization) [40,41]. Although the method has been used extensively in clinical settings with both patients and healthy subjects [42,43,44,45,46], a few studies have employed repetitive (thermal and mechanical) noxious stimuli with athletes to more specifically assess individual and group differences in their tolerance of chronic pain over time [47,48,49]. To the best of our knowledge, there are no previous studies that have evaluated the interaction between gender and competitive experience on the athlete’s perception of pain using CPT.

2. Materials and Methods

2.1. Study Design

This study featured a comparative balanced cross-sectional approach.

2.2. Participants

The population was characterized by university student athletes who attend the University of Cassino and Southern Lazio. The sample was recruited in a non-probabilistic way through an open invitation to the entire study population disseminated through student social channels and with the support of the University Sports Centre (CUS). The students were informed that they would participate in a laboratory study to measure subjective sensitivity to cold. Inclusion criteria were: (1) age range of 18–28 years, (2) competitive athletes of individual or team disciplines at the regional or national level. Exclusion criteria were: (1) inability to understand and follow instructions in verbal and written Italian; (2) any health conditions potentially causing sensory deficits, such as diabetes mellitus or neurological disorders; (3) any history of chemotherapy; (4) the current assumption of medication that can affect sensation; and (5) a current pregnancy. Students interested in participating were invited to book using a special link in the announcement, which, once opened, allowed them to enter their contact details, also indicating their gender, age, competition level (national/regional), number of years practising the sport, number of competitions in the last three years, number of training sessions per week and average duration of training. The researchers then organised and informed the students of the specific date and time at which they would be summoned to the laboratory. In relation to the study design, as the aim was to compare perceived pain on the CPT test in a higher agonistic experience and a lower agonistic experience group of athletes while also assessing the gender difference, the list and the information provided by those booked into the study was subjected to a preliminary analysis in order to apply useful criteria to divide the participants into a high experience group and a lower experience group. Using a non-hierarchical cluster analysis, the classification variables considered between the two groups were: their competition level (national/regional), the number of years of sport experience, the number of competitions in the last three years, the number of weekly training sessions and the average duration of training. Considering the decreasing measure of the distance of the case from the centroid, 50 males and 50 females were selected from the list in the 2 groups, for a total of 200 participants (100 higher experience, 100 lower experience). Selected participants were asked to limit intake of caffeine, alcohol and any medication causing sleepiness or analgesia for 24-h prior to the testing session. The procedure was explained, and written informed consent was obtained before data collection commenced.

2.3. Procedures

The study was approved by the Institutional Review Board of the University of Cassino and Southern Lazio (IRB_SUSS_07:24/03/19). The participants (all volunteers) were each summoned to the laboratory in morning sessions (in the 9 a.m.–12 a.m. time slot). They (a) received information on the study from the investigators; (b) provided informed consent to participate and were informed about the safety on the scientific and aggregate use of the data provided, in accordance with the Declaration of Helsinki; (c) completed a preliminary questionnaire for the collection of demographic data; and (d) carried out the session of the cold pressor test (CPT). The CPT was adopted as a method to induce and measure variations in pain perception. Participants were given the option to discontinue the test at any time in which the pain sensation was deemed intolerable. Before the execution of the CPT, the protocol included an acclimatization phase in which the participants were asked to immerse their non-dominant hand inside a basin containing three litres of water at room temperature for two minutes, both in order to accustom the hand to low temperatures and to make the basal temperatures uniform for the participants before the test.

The participant was then asked to place his/her non-dominant hand and wrist in 8 °C water in a 13-L plexiglass container connected with a circulating water bath (Julabo PF40-HE) and maintain it there as long as he/she could or until the maximum time limit of 90 s was reached. For safety reasons, the test was terminated after 1.5 min (90 s) if the participant had not already removed his/her hand. Although the maximum immersion limit of 3–5 min is normally applied to healthy adults [50,51,52,53], the test limit of 1.5 min was chosen to limit the risk of tissue injury.

The perception of the pain component was evaluated by scoring on a 10-interval numerical graduation scale (0 = no perceived pain, 10 = maximum perceived pain). In our case, as pain stimulus, the subject was required to immerse their non-dominant hand and indicate with their index finger of the other hand the progression of painful perception from the initial to the final moment of the test (90 s). However, all participants were given the option to withdraw their hand and interrupt the test when the discomfort was considered unbearable. The experimenter recorded the starting and ending time with a stopwatch, as well as the time of any voluntary withdrawal of the subject from the test. In case of withdrawal, the participant was given the highest score on the final pain perception record. A portable camera placed on a support behind the subject allowed the recording of the values of the progression of perception indicated on paper on a scale from 1 to 10. The stability of the water temperature in the tank was also controlled with the help of an internal thermometer and using a KK Moon IR external infrared thermometer device. A maximum temperature fluctuation of 3 °C was allowed in the tank.

2.4. Instruments

The CPT was performed using a Julabo Termocriostat (CF40-HE, Julabo GmbH, Seelbach, Germany), an external infrared thermometer (IR, KKmoon, Shenzhen, China) and an LCD thermometer with suction cup (Ueetek, Shenzhen, China). The experiment was also recorded using a video camera (Camcorder FHD 1080P, Panasonic, Kadoma, Japan).

2.5. Statistical Analysis

Statistical analyses were performed using the package SPSS (IBM) version 26. A non-hierarchical cluster analysis was used to divide participants into two groups of different experience considering established classification variables such as number of weekly training sessions, average duration of training sessions, number of competitions in the last three years, competitive level and total years of practice. The verification of the assumptions of univariate normality has been conducted using the procedure for the standardization of the variables, by inspection of a boxplot, and using Shapiro–Wilk’s normality test. Homogeneity of variances was assessed by Levene’s test. A three-way repeated measures ANOVA was run with three independent variables (Gender x Agonistic Experience x Time) and one dependent variable (pain perception at CPT). As the number of participants in the group was balanced, in order to determine the interaction between the variables, Pillai’s criterion was used instead of Wilks’ Lambda, as it is more robust to unequal covariance matrices [54]. Following Cohen [55], partial Eta squared was the measure used to assess effect size (0.01 = small, 0.06 = medium, 0.13 = large). The level of significance was set at p < 0.05, while for the testing of multiple univariate interaction effects a Bonferroni adjustment was introduced by dividing the declared level of statistical significance by the number of dependent variables: p < 0.025 (i.e., p < 0.05 ÷ 2).

3. Results

A total of 243 student athletes indicated their willingness to participate in the study. Among these, following a classification conducted through cluster analysis to distinguish a group with more competitive experience from a second group consisting of athletes with less competitive experience, and wanting to balance the number of males and females in the two groups, in the end, 43 student athletes booked on the list did not participate. Therefore, 200 was the final number of participants, 100 male and 100 female, Mage = 22.31 SD = 3.33. The distance to the end centres of the cluster = 6.672, Higher Experience group: max distance = 5.045 min = 0.591, Lower Experience Group: max distance = 3.93 min = 0.459. All participants who started the test completed it regularly, therefore, no drop-outs were recorded.

Table 1 below shows the comparison between the group with the lowest competitive experience and the group with the highest competitive experience, considering gender, years of competitive practice, number of training sessions per week, average duration of training sessions and sports practised.

Table 1.

Comparison between the group with lower agonistic experience and the group with higher experience considering gender and sports practised.

Lower Agonistic Experience Higher Agonistic Experience
N (%) ICP (SD) WTS (SD) ADT (SD) ICP (SD) WTS (SD) ADT (SD) P (Experience)
Gender Male 100 50.0 5.09 1.83 2.41 1.21 1.51 0.44 9.67 2.43 2.98 1.12 1.71 0.53 <0.001 <0.05 <0.01
Female 100 50.0 4.50 1.94 2.43 1.20 1.57 0.49 10.34 2.21 3.43 1.16 1.78 0.62 <0.001 <0.001 ns
Total 200 100% 4.82 1.89 2.42 1.20 1.54 0.46 9.96 2.25 3.18 1.16 1.74 0.57 <0.001 <0.01 ns
P (gender) >0.05 >0.05 >0.05 >0.05 >0.05 >0.05
Sport Martial arts 11 5.5 5.72 1.91 2.63 1.25 1.27 0.45 9.10 2.30 4.27 1.30 1.45 0.40 <0.001 <0.001 <0.01
Soccer referee 11 5.5 4.82 1.84 1.63 1.20 1.18 0.48 6.45 2.50 1.90 1.35 1.27 0.55 <0.001 ns ns
Athletics (100 m) 4 2.0 3.25 1.92 3.23 1.15 2.00 0.51 10.25 2.35 3.25 1.20 2.00 0.65 <0.001 ns ns
Shot put 4 2.0 3.00 1.41 2.00 1.21 1.50 0.42 8.00 2.12 3.00 0.71 2.00 0.71 <0.001 <0.001 <0.001
Swimming 25 12.5 7.40 2.07 3.40 1.15 1.20 0.40 10.28 2.25 3.60 1.41 1.48 0.55 <0.001 ns <0.001
Soccer 34 17.0 6.20 2.26 3.41 1.16 1.35 0.48 11.20 2.40 3.85 1.40 1.50 0.55 <0.001 <0.05 <0.05
Dance 22 11.0 3.40 1.80 1.95 1.25 1.36 0.52 12.40 2.50 2.77 0.95 1.50 0.65 <0.001 <0.001 ns
Gymnastics 11 5.5 4.80 2.13 3.27 1.22 1.27 0.44 13.44 2.40 3.63 1.30 1.36 0.45 <0.001 <0.05 ns
Tennis 10 5.0 5.93 1.90 2.40 1.22 2.10 0.49 14.10 2.15 4.30 1.30 2.50 0.60 <0.001 <0.001 <0.001
Volleyball 8 4.0 6.23 1.94 2.62 1.18 1.37 0.40 10.25 2.55 2.87 1.30 1.50 0.50 <0.001 ns <0.05
Rugby 6 3.0 2.30 1.88 1.82 1.16 1.82 0.46 8.65 2.30 3.15 1.40 2.00 0.50 <0.001 <0.001 <0.01
Archery 4 2.0 7.00 2.12 1.00 1.23 2.00 0.43 14.00 2.12 2.00 0.71 2.00 0.71 <0.001 <0.001 ns
Horseback riding 4 2.0 6.00 1.41 2.00 1.22 2.00 0.47 8.00 1.41 4.00 0.71 2.00 0.71 <0.001 <0.001 ns
Cycling 5 2.5 5.60 1.85 3.00 1.18 1.20 0.50 9.60 2.40 3.20 1.30 2.00 0.55 <0.001 ns <0.01
Body Building 4 2.0 4.00 1.41 3.00 1.24 2.00 0.43 9.00 2.12 4.00 0.71 2.00 0.71 <0.001 <0.001 ns
Power lifting 16 8.0 3.50 2.38 1.50 1.18 1.50 0.45 8.25 2.20 1.50 1.25 1.79 0.50 <0.001 ns <0.001
Crossfit 21 10.5 2.82 1.87 2.38 1.25 1.19 0.48 6.38 2.15 2.90 1.35 1.38 0.45 <0.001 <0.01 <0.01
Total 200 100% 4.82 1.89 2.42 1.20 1.54 0.46 9.96 2.25 3.18 1.16 1.74 0.57 <0.001 <0.01 >0.05

ICP = Years of competitive practice; WTS = Number weekly training sessions; ADT = Average duration of training session; SD = Standard Deviation.

A three-way repeated measures ANOVA (2 X 2 X 2) was conducted to examine both the effects of the membership in the Group of Lower Agonistic Experience vs. Higher Agonistic Experience and Gender of the athletes on the intensity of perceived pain at the beginning of the CPT (L0) and after a 90-s interval (L1). A residual analysis was performed to test for the assumptions of the three-way repeated measures ANOVA. Outliers were assessed by inspection of a boxplot, normality was assessed using Shapiro–Wilk’s normality test for each cell of the design and homogeneity of variances was assessed by Levene’s test. There were no outliers, residuals were normally distributed (p > 0.05) and there was a homogeneity of variances (p = 0.697). A statistically significant three-way interaction between Group, Gender and Time resulted, F(1,49) = 9.771, p < 0.001. Statistical significance was accepted at the p < 0.025 level for simple two-way interactions and simple main effects. There were statistically significant simple two-way interactions between Gender and Time, F(1,49) = 5.423, p < 0.025; Group and Time, F(1,49) = 21.488, p < 0.025; but none between Gender and Group, F(1,49) = 2.588, p = 0.114. With regard to the first interaction, there was a statistically significant simple main effect on pain perception at L0 for females, F(1,99) = 93.567, p < 0.025. A Bonferroni adjustment was applied. For males, the mean pain perception at L0 was 3.95 (SD = 2.49), and for females, it was 4.58 (SD = 1.72). There was a statistically significant mean difference in pain perception between males and females of −0.62795% CI [−0.754, −0.499], p < 0.025, ηp2 = 0.302. At L1, the simple main effect between the genders was non-significant: p = 0.028 i.e. > 0.025.

With regard to the second interaction, at L0, no statistically significant simple main effect of Group was reported: F(1,99) = 0.079, p > 0.025. At L1, a simple significant main effect on pain perception was reported for the Group of Lower Agonistic Experience, F(1,99) = 173.420, p < 0.025. For the Group of Lower Agonistic Experience Mean pain perception at L1 was 9.33 (SD = 0.47); for the Group of Higher Agonistic Experience, it was 7.79 (SD = 1.43). There was a statistically significant mean difference in pain perception between the groups of 1.534 95% CI [1.303, 1.766], p < 0.025, ηp2 = 0.666. The following Table 2 and Figure 1 and Figure 2 show the perceived intensity levels at L0 and L0 considering the gender and agonistic experience of the participants.

Table 2.

Pain perception considering Gender, Group and Time.

Confidence Interval 95 %
Genre Group Time Mean Stand. Err. Lower Bound Higher Bound
Male Lower Agonistic Experience L0 4.438 0.278 3.882 4.993
L1 9.313 0.089 9.135 9.490
Higher Agonistic Experience L0 3.188 0.268 2.652 3.723
L1 7.688 0.169 7.349 8.026
Female Lower Agonistic Experience L0 4.609 0.223 4.163 5.056
L1 9.000 0.111 8.777 9.223
Higher Agonistic Experience L0 3.625 0.186 3.354 3.996
L1 9.063 0.115 8.832 9.293

Figure 1.

Figure 1

Estimated marginal means of pain perception at Time L0.

Figure 2.

Figure 2

Estimated marginal means of pain perception at Time L1.

4. Discussion

The analysis revealed a significant interaction effect on the ratings of perceived pain at the beginning and end of CPT, attributable in the former case to the gender of participants and in the latter to their agonistic experience. At L0, the initial moment of the CPT, females showed a significantly higher perceived pain rating compared to male athletes, regardless of the group they belonged to. This result is consistent with findings in the literature, where the lower threshold of pain in females is supported by ample evidence [56,57,58]. The expansive body of literature in this area suggests that females have lower pain thresholds to a range of pain stimuli when compared to males. Thus, at the moment of first impact with the perception of pain, the assessment of its intensity does not seem to benefit from the support of experience in the modulation of perceived pain. Therefore, only gender-related differences emerge. However, the most interesting aspect of the present study results is what emerged at the end of the CPT, after a 90-s immersion interval of the non-dominant hand in the cold box. It was found that an effect of significantly lower pain perception was associated with the increased competitive experience of male athletes only. Female athletes did not appear to benefit from the experience effect on their pain tolerance. One possible explanation suggests that males are more motivated to tolerate and suppress expressions of pain because of the masculine gender role, whereas the feminine gender role encourages pain expression and produces lower motivation to tolerate pain among females [59]. Other mechanisms have been proposed to explain the differing response to experimental pain between the genders, including hormonal factors, differences in pain modulatory systems and genetic factors. From a more psychosocial perspective, another potential explanation for the gender difference in pain responses involves social role expectancies [60]. Sex hormones also have effects throughout the nervous system, and their plasma concentrations change on a regular basis among both females and males. In addition, hormone levels change in females throughout the menstrual cycle, during pregnancy and after menopause. These differences may have major consequences for pain perception [7]. In females, the pain modulatory system shows menstrual variation with more effect in the ovulatory phase of the cycle compared to the menstrual and luteal phase [61]. Thus, it would seem that after 90 s of CPT, the female athletes felt the physiological effect consisting of a lower inhibition and modulation of pain, resulting in an open admission of a strong increase in pain perception.

A further interpretation could be that the female response of a higher perceived pain, even in the presence of a significant competitive experience, is due to a greater fear of physical damage, otherwise defined as a catastrophic disposition, which, as already reported by several studies, is also relevant in the sporting context [19,21,62,63].

In addition, the influences of different gender-specific coping styles should be considered [9]. These mechanisms also impact pain, and it is suggested that women manage their pain by using more emotionally based and adaptive coping strategies and have a greater propensity to seek emotional support [64]. Conversely, males engage in behavioural distraction, passive coping and avoidance behaviours to cope with pain [65,66]. Therefore, if we consider that the CPT test takes place in a condition of relative and aseptic isolation in the laboratory, this artificial condition may have limited the possibility of using active coping strategies, emotional support seeking and cognitive restructuring that are better adapted to naturalistic and non-laboratory contexts. However, in males, who prefer passive and avoidance coping, CPT delivery may not have interfered with the activation of habitual coping modes and contributed to the control of perceived pain intensity.

5. Limitations

The present study should also be considered in light of some additional limitations. The cross-sectional nature of the design and voluntary recruitment could be corrected by a future replication considering a randomized extraction from a larger pool of participating athletes. Given the wide range of sports disciplines included in the study, a replication could instead focus also on the comparison of the perception of pain among athletes of specific sports. In this case, this criterion should be considered when randomising, thus resulting in a homogeneous presence of the disciplines considered in the groups. Considering the peculiarity of the stimulus used in the test (cold), the lack of athletes from winter disciplines (skiing, ice skating, bobsleigh) among the participants could have somehow deprived the study of information on the adaptation response to the CPT test in athletes who are used to managing the cold variable among the environmental conditions in which they usually compete.

A further feature of this work is that the CPT did not include, unlike other studies, a preliminary physical activation phase of the athlete (depending on the discipline practiced), instead the assessment of the algic component took place, so to speak, “coldly”. A further limitation is not having considered the menstrual cycle in the females participating in the study and thus pain modulation under endocrine influence. Indeed, some results have shown that pain sensation is increased during the luteal phase and that high serum progesterone and oestradiol concentrations correspond to lower values for pain intensity [67]. The results should also be considered in the light of the short interval of the testing carried out. The 1.5 min limit was dictated by a precautionary decision, with the intention of guaranteeing extreme safety to the participants in the study and at the same time having a time interval that is considered useful to activate, as indicated by other scholars who suggested that 90 to 120 s of stimulation should be sufficient to achieve a true peak response [68]. In any case, the extension of the CPT to 3 min, carried out in other previous studies [69,70,71], could possibly have affected the process of inhibitory control and modulation of perceived pain in a different way within male and female athletes.

6. Study Strengths

In contrast with other studies carried out previously, the detection of the perceived intensity of pain was performed at the initial moment of immersion of the non-dominant hand in the box and after an interval of 90 s. This method provided a way to record the progressive and incremental change in perceived pain intensity in both groups. In previous studies using the CPT method with athletes, it is not specified, whether the assessment of perceived pain intensity was performed at the beginning of the test, after an interval or whether an average measure of perceived intensity between two or more specific intervals was considered. In our opinion, this lack of specification constitutes a limitation of previous works that may have prevented the clarification of aspects of significant differentiation in the processes of coping and modulation of the painful experience.

7. Conclusions

In the literature the question of identifying the number and the influence of factors involved in the inhibitory control of pain in male and female athletes remains open. This study was able to demonstrate with a sufficiently large number of participants that the increase in the intensity of pain perceived during cold stimulation by means of the CPT presents in male athletes a significant inhibitory modulation ascribable to factors related to competitive experience accumulated over time. Although there were no significant differences in terms of the total years of practice and the number of weekly training sessions and their duration in the female subsample with more competitive experience, there was no equal advantage for them in the control of pain perception.

Acknowledgments

The authors are grateful to all participants who took part in this study.

Author Contributions

P.D., S.C., S.M. and A.R. designed the study. P.D., S.C., L.F., A.A., M.P. and S.M. analysed the data and discussed the results. P.D., E.L., A.A. and T.C.S. drafted the manuscript, and A.A., T.C.S. and A.R. revised the manuscript. All authors approved the final manuscript. Finally, the authors have agreed to be accountable for all aspects of the manuscript in ensuring that questions related to the accuracy or integrity of any part of it are appropriately investigated and resolved. All authors have read and agreed to the published version of the manuscript.

Funding

This study was partial supported by the FAPESC (Research and Innovation Support Foundation of the State of Santa Catarina) for financial support through research (Project n. 2287/PAP 01/2016). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of the Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio (IRB_SUSS_07:4/24/19).

Informed Consent Statement

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

Data Availability Statement

The datasets during and/or analysed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Tesarz J., Schuster A.K., Hartmann M., Gerhardt A., Eich W. Pain perception in athletes compared to normally active controls: A systematic review with meta-analysis. Pain. 2012;153:1253–1262. doi: 10.1016/j.pain.2012.03.005. [DOI] [PubMed] [Google Scholar]
  • 2.Pettersen S.D., Aslaksen P.M., Pettersen S.A. Pain Processing in Elite and High-Level Athletes Compared to Non-athletes. Front. Psychol. 2020;11:1908. doi: 10.3389/fpsyg.2020.01908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Schmitt A., Wallat D., Stangier C., Martin J., Schlesinger-Irsch U., Boecker H. Effects of fitness level and exercise intensity on pain and mood responses. Eur. J. Pain. 2019;24:568–579. doi: 10.1002/ejp.1508. [DOI] [PubMed] [Google Scholar]
  • 4.Unruh A.M. Gender variations in clinical pain experience. Pain. 1996;65:123–167. doi: 10.1016/0304-3959(95)00214-6. [DOI] [PubMed] [Google Scholar]
  • 5.Paulson P.E., Minoshima S., Morrow T.J., Casey K.L. Gender differences in pain perception and patterns of cerebral activation during noxious heat stimulation in humans. Pain. 1998;76:223–229. doi: 10.1016/S0304-3959(98)00048-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Paller C.J., Campbell C.M., Edwards R.R., Dobs A.S. Sex-Based Differences in Pain Perception and Treatment. Pain Med. 2009;10:289–299. doi: 10.1111/j.1526-4637.2008.00558.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Fillingim R.B., King C.D., Ribeiro-Dasilva M.C., Rahim-Williams B., Riley J.L., III Sex, Gender, and Pain: A Review of Recent Clinical and Experimental Findings. J. Pain. 2009;10:447–485. doi: 10.1016/j.jpain.2008.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Wiesenfeld-Hallin Z. Sex differences in pain perception. Gend. Med. 2005;2:137–145. doi: 10.1016/S1550-8579(05)80042-7. [DOI] [PubMed] [Google Scholar]
  • 9.Bartley E.J., Fillingim R. Sex differences in pain: A brief review of clinical and experimental findings. Br. J. Anaesth. 2013;111:52–58. doi: 10.1093/bja/aet127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Riley J.L., III, Robinson M.E., Wise E.A., Myers C.D., Fillingim R.B. Sex differences in the perception of noxious experimental stimuli: A meta-analysis. Pain. 1998;74:181–187. doi: 10.1016/S0304-3959(97)00199-1. [DOI] [PubMed] [Google Scholar]
  • 11.Chesterton L.S., Barlas P., Foster N.E., Baxter D., Wright C.C. Gender differences in pressure pain threshold in healthy humans. Pain. 2003;101:259–266. doi: 10.1016/S0304-3959(02)00330-5. [DOI] [PubMed] [Google Scholar]
  • 12.Popescu A., LeResche L., Truelove E.L., Drangsholt M.T. Gender differences in pain modulation by diffuse noxious inhibitory controls: A systematic review. Pain. 2010;150:309–318. doi: 10.1016/j.pain.2010.05.013. [DOI] [PubMed] [Google Scholar]
  • 13.Melzack R., Casey K.L. Sensory, motivational, and central control determinants of pain: A new conceptual model. In: Kenshalo D., editor. The Skin Senses. Volume 21. C.C. Thomas; Springfield, IL, USA: 1968. pp. 423–439. [Google Scholar]
  • 14.Moayedi M., Davis K.D. Theories of pain: From specificity to gate control. J. Neurophysiol. 2013;109:5–12. doi: 10.1152/jn.00457.2012. [DOI] [PubMed] [Google Scholar]
  • 15.Wise E.A., Price D., Myers C.D., Heft M.W., Robinson M.E. Gender role expectations of pain: Relationship to experimental pain perception. Pain. 2002;96:335–342. doi: 10.1016/S0304-3959(01)00473-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Iso-Ahola S.E., Blanchard W.J. Psychological Momentum and Competitive Sport Performance: A Field Study. Percept. Mot. Ski. 1986;62:763–768. doi: 10.2466/pms.1986.62.3.763. [DOI] [Google Scholar]
  • 17.Jaremko M.E. Cognitive strategies in the control of pain tolerance. J. Behav. Ther. Exp. Psychiatry. 1978;9:239–244. doi: 10.1016/0005-7916(78)90035-6. [DOI] [Google Scholar]
  • 18.Ryan E.D., Kovacic C.R. Pain Tolerance and Athletic Participation. Percept. Mot. Ski. 1966;22:383–390. doi: 10.2466/pms.1966.22.2.383. [DOI] [Google Scholar]
  • 19.Sullivan M.J.L., Tripp D.A., Santor D. Gender Differences in Pain and Pain Behavior: The Role of Catastrophizing. Cogn. Ther. Res. 2000;24:121–134. doi: 10.1023/A:1005459110063. [DOI] [Google Scholar]
  • 20.Diotaiuti P., Corrado S., Mancone S., Falese L., Rodio A., Siqueira T., Andrade A. Influence of Cognitive Orientation and Attentional Focus on Pain Perception. Int. J. Environ. Res. Public Health. 2021;18:7176. doi: 10.3390/ijerph18137176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lentini M., Scalia J., Lebel F.B., Touma F., Jhajj A., Darlington P.J., Dover G. Association Between Pain Catastrophizing and Pain and Cardiovascular Changes During a Cold-Pressor Test in Athletes. J. Athl. Train. 2021;56:473–483. doi: 10.4085/1062-6050-016-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Sternberg W.F., Boka C., Kas L., Alboyadjia A., Gracely R.H. Sex-Dependent Components of the Analgesia Produced by Athletic Competition. J. Pain. 2001;2:65–74. doi: 10.1054/jpai.2001.18236. [DOI] [PubMed] [Google Scholar]
  • 23.Kakiashvili L., Tsagareli M., Mjavanadze D., Kvachadze I. Pain perception in athletes: A brief review. Georgian Med. News. 2016;259:105–109. [PubMed] [Google Scholar]
  • 24.Flood A., Waddington G., Thompson K., Cathcart S. Increased conditioned pain modulation in athletes. J. Sports Sci. 2017;35:1066–1072. doi: 10.1080/02640414.2016.1210196. [DOI] [PubMed] [Google Scholar]
  • 25.McDougall J., Jutzeler C.R., Scott A., Crocker P.R., Kramer J.L. Conditioned pain modulation in elite athletes: A systematic review and meta-analysis. Scand. J. Pain. 2020;20:429–438. doi: 10.1515/sjpain-2019-0153. [DOI] [PubMed] [Google Scholar]
  • 26.Daley M.M., Griffith K., Milewski M.D., Christino M.A. The Mental Side of the Injured Athlete. J. Am. Acad. Orthop. Surg. 2021;29:499–506. doi: 10.5435/JAAOS-D-20-00974. [DOI] [PubMed] [Google Scholar]
  • 27.Deroche T., Woodman T., Stephan Y., Brewer B.W., Le Scanff C. Athletes’ inclination to play through pain: A coping perspective. Anxiety Stress Coping. 2011;24:579–587. doi: 10.1080/10615806.2011.552717. [DOI] [PubMed] [Google Scholar]
  • 28.Poletti S., Abdoun O., Zorn J., Lutz A. Pain regulation during mindfulness meditation: Phenomenological fingerprints in novices and experts practitioners. Eur. J. Pain. 2021;25:1583–1602. doi: 10.1002/ejp.1774. [DOI] [PubMed] [Google Scholar]
  • 29.Alschuler K.N., Krabak B.J., Kratz A.L., Jensen M.P., Pomeranz D., Burns P., Bautz J., Nordeen C., Irwin C., Lipman G.S. Pain Is Inevitable but Suffering Is Optional: Relationship of Pain Coping Strategies to Performance in Multistage Ultramarathon Runners. Wilderness Environ. Med. 2020;31:23–30. doi: 10.1016/j.wem.2019.10.007. [DOI] [PubMed] [Google Scholar]
  • 30.Diotaiuti P., Corrado S., Mancone S., Falese L. Resilience in the Endurance Runner: The Role of Self-Regulatory Modes and Basic Psychological Needs. Front. Psychol. 2021;11:11. doi: 10.3389/fpsyg.2020.558287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Bluhm K., Ravn S. ‘It has to hurt’: A phenomenological analysis of elite runners’ experiences in handling non-injuring running-related pain. Qual. Res. Sport Exerc. Health. 2021:1–16. doi: 10.1080/2159676X.2021.1901136. [DOI] [Google Scholar]
  • 32.Tynan R., McEvilly N. ‘No pain, no gain’: Former elite female gymnasts’ engagements with pain and injury discourses. Qual. Res. Sport Exerc. Health. 2017;9:469–484. doi: 10.1080/2159676X.2017.1323778. [DOI] [Google Scholar]
  • 33.Harrison C., Ruddock-Hudson M. Perceptions of Pain, Injury, and Transition-Retirement: The Experiences of Professional Dancers. J. Dance Med. Sci. 2017;21:43–52. doi: 10.12678/1089-313X.21.2.43. [DOI] [PubMed] [Google Scholar]
  • 34.Lampe J., Borgetto B., Groneberg D.A., Wanke E.M. Prevalence, localization, perception and management of pain in dance: An overview. Scand. J. Pain. 2018;18:567–574. doi: 10.1515/sjpain-2018-0105. [DOI] [PubMed] [Google Scholar]
  • 35.Tarr J., Thomas H. Good Pain, Bad Pain: Dancers, Injury, and Listening to the Body. Dance Res. 2021;39:53–71. doi: 10.3366/drs.2020.0301. [DOI] [Google Scholar]
  • 36.Quested E., Duda J.L. Setting the Stage: Social-environmental and motivational predictors of optimal training engagement. Perform. Res. 2009;14:36–45. doi: 10.1080/13528160903319265. [DOI] [Google Scholar]
  • 37.Martinez-Calderon J., Zamora-Campos C., Navarro-Ledesma S., Luque-Suarez A. The Role of Self-Efficacy on the Prognosis of Chronic Musculoskeletal Pain: A Systematic Review. J. Pain. 2018;19:10–34. doi: 10.1016/j.jpain.2017.08.008. [DOI] [PubMed] [Google Scholar]
  • 38.Schubring A., Thiel A. Health-related gender boundary crossing in youth elite sport. Sport Soc. 2015;19:695–710. doi: 10.1080/17430437.2015.1073948. [DOI] [Google Scholar]
  • 39.McEwen K., Young K. Ballet and pain: Reflections on a risk-dance culture. Qual. Res. Sport Exerc. Health. 2011;3:152–173. doi: 10.1080/2159676X.2011.572181. [DOI] [Google Scholar]
  • 40.Price D., Hu J.W., Dubner R., Gracely R.H. Peripheral suppression of first pain and central summation of second pain evoked by noxious heat pulses. Pain. 1977;3:57–68. doi: 10.1016/0304-3959(77)90035-5. [DOI] [PubMed] [Google Scholar]
  • 41.Arendt-Nielsen L., Brennum J., Sindrup S., Bak P. Electrophysiological and psychophysical quantification of temporal summation in the human nociceptive system. Eur. J. Appl. Physiol. Occup. Physiol. 1994;68:266–273. doi: 10.1007/BF00376776. [DOI] [PubMed] [Google Scholar]
  • 42.Potvin S., Paul-Savoie E., Morin M., Bourgault P., Marchand S. Temporal Summation of Pain Is Not Amplified in a Large Proportion of Fibromyalgia Patients. Pain Res. Treat. 2012;2012:938595. doi: 10.1155/2012/938595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Petersen K., Simonsen O., Andersen M., Olesen A.E., Arendt-Nielsen L. The effect of facilitated temporal summation of pain, widespread pressure hyperalgesia and pain intensity in patients with knee osteoarthritis on the responds to Non-Steroidal Anti-Inflammatory Drugs—A preliminary analysis. Scand. J. Pain. 2017;16:182. doi: 10.1016/j.sjpain.2017.04.050. [DOI] [Google Scholar]
  • 44.Kong J.-T., Bagarinao E., Olshen R.A., Mackey S. Novel Characterization of Thermal Temporal Summation Response by Analysis of Continuous Pain Vs Time Curves And Exploratory Modeling. J. Pain Res. 2019;12:3231–3244. doi: 10.2147/JPR.S212137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Rassu F.S., Luedke J.C., Nanavaty N., Mathur V.A., Meagher M.W. Greater mechanical temporal summation of pain in Latinx-Americans and the role of adverse life experiences. Pain Rep. 2020;5:e842. doi: 10.1097/PR9.0000000000000842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Mailloux C., Beaulieu L.-D., Wideman T.H., Massé-Alarie H. Within-session test-retest reliability of pressure pain threshold and mechanical temporal summation in healthy subjects. PLoS ONE. 2021;16:e0245278. doi: 10.1371/journal.pone.0245278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Tesarz J., Gerhardt A., Schommer K., Treede R.-D., Eich W. Alterations in endogenous pain modulation in endurance athletes: An experimental study using quantitative sensory testing and the cold-pressor task. Pain. 2013;154:1022–1029. doi: 10.1016/j.pain.2013.03.014. [DOI] [PubMed] [Google Scholar]
  • 48.Vaegter H., Handberg G., Graven-Nielsen T. Isometric exercises reduce temporal summation of pressure pain in humans. Eur. J. Pain. 2014;19:973–983. doi: 10.1002/ejp.623. [DOI] [PubMed] [Google Scholar]
  • 49.Assa T., Geva N., Zarkh Y., Defrin R. The type of sport matters: Pain perception of endurance athletes versus strength athletes. Eur. J. Pain. 2018;23:686–696. doi: 10.1002/ejp.1335. [DOI] [PubMed] [Google Scholar]
  • 50.Mourot L., Bouhaddi M., Regnard J. Effects of the cold pressor test on cardiac autonomic control in normal subjects. Physiol. Res. 2009;58:83–91. doi: 10.33549/physiolres.931360. [DOI] [PubMed] [Google Scholar]
  • 51.Moro P.-J., Flavian A., Jacquier A., Kober F., Quilici J., Gaborit B., Bonnet J.-L., Moulin G., Cozzone P.J., Bernard M. Gender differences in response to cold pressor test assessed with velocity-encoded cardiovascular magnetic resonance of the coronary sinus. J. Cardiovasc. Magn. Reson. 2011;13:54. doi: 10.1186/1532-429X-13-54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Silverthorn D.U., Michael J. Cold stress and the cold pressor test. Adv. Physiol. Educ. 2013;37:93–96. doi: 10.1152/advan.00002.2013. [DOI] [PubMed] [Google Scholar]
  • 53.Engebretsen S., Frigessi A., Engø-Monsen K., Furberg A.-S., Stubhaug A., de Blasio B.F., Nielsen C.S. The peer effect on pain tolerance. Scand. J. Pain. 2018;18:467–477. doi: 10.1515/sjpain-2018-0060. [DOI] [PubMed] [Google Scholar]
  • 54.Olson C.L. On choosing a test statistic in multivariate analysis of variance. Psychol. Bull. 1976;83:579–586. doi: 10.1037/0033-2909.83.4.579. [DOI] [Google Scholar]
  • 55.Cohen J. Statistical Power Analysis for the Behavioral Sciences. Routledge Academic; New York, NY, USA: 1998. [Google Scholar]
  • 56.Fillingim R.B., Maixner W. Gender differences in the responses to noxious stimuli. Pain Forum. 1995;4:209–221. doi: 10.1016/S1082-3174(11)80022-X. [DOI] [Google Scholar]
  • 57.Nie H., Arendt-Nielsen L., Andersen H., Graven-Nielsen T. Temporal Summation of Pain Evoked by Mechanical Stimulation in Deep and Superficial Tissue. J. Pain. 2005;6:348–355. doi: 10.1016/j.jpain.2005.01.352. [DOI] [PubMed] [Google Scholar]
  • 58.Lowery D., Fillingim R., Wright R.A. Sex Differences and Incentive Effects on Perceptual and Cardiovascular Responses to Cold Pressor Pain. Psychosom. Med. 2003;65:284–291. doi: 10.1097/01.PSY.0000033127.11561.78. [DOI] [PubMed] [Google Scholar]
  • 59.Myers C.D., Robinson M.E., Riley J.L., Sheffield D. Sex, Gender, and Blood Pressure: Contributions to Experimental Pain Report. Psychosom. Med. 2001;63:545–550. doi: 10.1097/00006842-200107000-00004. [DOI] [PubMed] [Google Scholar]
  • 60.Berkley K.J. Sex differences in pain. Behav. Brain Sci. 1997;20:371–380. doi: 10.1017/S0140525X97221485. [DOI] [PubMed] [Google Scholar]
  • 61.Tousignant-Laflamme Y., Marchand S. Excitatory and inhibitory pain mechanisms during the menstrual cycle in healthy women. Pain. 2009;146:47–55. doi: 10.1016/j.pain.2009.06.018. [DOI] [PubMed] [Google Scholar]
  • 62.Sullivan M.J.L., Tripp D.A., Rodgers W.M., Stanish W. Catastrophizing and pain perception in sport participants. J. Appl. Sport Psychol. 2000;12:151–167. doi: 10.1080/10413200008404220. [DOI] [Google Scholar]
  • 63.Sciascia A., Waldecker J., Jacobs C. Pain Catastrophizing in College Athletes. J. Sport Rehabil. 2020;29:168–173. doi: 10.1123/jsr.2018-0137. [DOI] [PubMed] [Google Scholar]
  • 64.Keogh E., Herdenfeldt M. Gender, coping and the perception of pain. Pain. 2002;97:195–201. doi: 10.1016/S0304-3959(01)00427-4. [DOI] [PubMed] [Google Scholar]
  • 65.Unruh A.M., Ritchie J., Merskey H. Does Gender Affect Appraisal of Pain and Pain Coping Strategies? Clin. J. Pain. 1999;15:31–40. doi: 10.1097/00002508-199903000-00006. [DOI] [PubMed] [Google Scholar]
  • 66.Racine M., Castarlenas E., de la Vega R., Tomé-Pires C., Solé E., Miró J., Jensen M.P., Moulin D.E., Nielson W.R. Sex Differences in Psychological Response to Pain in Patients with Fibromyalgia Syndrome. Clin. J. Pain. 2015;31:425–432. doi: 10.1097/AJP.0000000000000132. [DOI] [PubMed] [Google Scholar]
  • 67.Stening K., Eriksson O., Wahren L., Berg G., Hammar M., Blomqvist A. Pain sensations to the cold pressor test in normally menstruating women: Comparison with men and relation to menstrual phase and serum sex steroid levels. Am. J. Physiol. Integr. Comp. Physiol. 2007;293:R1711–R1716. doi: 10.1152/ajpregu.00127.2007. [DOI] [PubMed] [Google Scholar]
  • 68.Peckerman A., Hurwitz B.E., Saab P.G., Llabre M.M., McCABE P.M., Schneiderman N. Stimulus dimensions of the cold pressor test and the associated patterns of cardiovascular response. Psychophysiology. 1994;31:282–290. doi: 10.1111/j.1469-8986.1994.tb02217.x. [DOI] [PubMed] [Google Scholar]
  • 69.Laton M., Backlund H., Toy E., Matango M., Sippl K., Tao Y. Effect of Cold Pressor Test on Reaction Time. J. Adv. Stud. Sci. 2014. [(accessed on 5 January 2022)]. Available online: http://digital.library.wisc.edu/1793/80054.
  • 70.Schwabe L., Schächinger H. Ten years of research with the Socially Evaluated Cold Pressor Test: Data from the past and guidelines for the future. Psychoneuroendocrinology. 2018;92:155–161. doi: 10.1016/j.psyneuen.2018.03.010. [DOI] [PubMed] [Google Scholar]
  • 71.Matylda L., Joseph S., Frédérike B.B.L., Fadi B.T., Aneet J., Darlington P.J., Dover G. Pain catastrophizing in athletes correlates with pain and cardiovascular changes during a painful cold pressor test. [(accessed on 5 January 2022)];J. Athl. Train. 2020 doi: 10.4085/16-20. Available online: https://meridian.allenpress.com/jat/article/doi/10.4085/16-20/446970. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets during and/or analysed during the current study are available from the corresponding author on reasonable request.


Articles from International Journal of Environmental Research and Public Health are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES