The evidence base regarding the mental health and wellbeing of elite athletes is limited by a paucity of high-quality, systematic studies, including intervention trials. |
On the basis of current evidence, elite athletes appear to experience a broadly comparable risk of high-prevalence mental disorders relative to the general population. A greater risk of disorder may be experienced by elite athletes who are injured, approaching/in retirement or experiencing performance difficulty. |
While the importance of elite athlete mental health is gaining increasing attention, targeted, disorder-specific models of care are yet to be established for this group. There is scope for such models to capitalise on early-intervention principles and establish cross-discipline collaboration. |
1 Introduction
1.1 Objective
2 Methods
2.1 Literature Search
2.2 Study Inclusion
2.3 Data Extraction
2.4 Quality Appraisal
3 Results
3.1 Literature Search
3.2 Study Design
3.3 Quality Appraisal
3.4 Description of Included Studies
Authors | Type | Purpose |
N (male:female) | Sport; country | Main findings |
---|---|---|---|---|---|
Robazza and Bortoli [29] | Quantitative; cross-sectional, observational | Perceived effects of trait anger | 197 (197:0) | Rugby; Italy | Players experienced a moderate frequency of anger symptoms, interpreting these as facilitative rather than debilitative. Anxiety was a significant predictor of anger, while self-confidence was a significant predictor of control of anger. High- and low-level competitors did not differ in their frequency and interpretation of anger symptoms |
Si and Lee [30] | Quantitative; case study, intervention (no control) | Mental skills training for anger | 1 (1:0) | Table tennis, Hong Kong | Results supported the effectiveness of psychological intervention in changing the athlete’s low frustration tolerance behaviours directed towards others. Problem resolution and disputing and restructuring irrational beliefs facilitated performance enhancement in competitions |
Authors | Type | Purpose |
N (male:female) | Sport; country | Main findings |
---|---|---|---|---|---|
Abrahamsen et al. [31] | Quantitative; cross-sectional, observational | Achievement motivation for performance anxiety | 190 (101:89) | Various; Norway | Females reported greater performance worry, concentration disruption and somatic anxiety than males. Perceptions of a performance climate predicted performance worry for both sexes and concentration disruption for females. Perceived ability predicted less performance worry for females and males |
Hatzigeorgiadis and Chroni [32] | Quantitative; longitudinal, observational | Pre-competition anxiety and coping | 9 (9:0) | Swimming; Greece | Facilitative perceptions of anxiety symptoms were related to more adaptive cognitive and behavioural outcomes. Swimmers perceiving their anxiety states as facilitative reported more approach- and less avoidance-coping strategies than swimmers perceiving their anxiety states as debilitative |
Jones et al. [33] | Quantitative; cross-sectional, observational | Anxiety and performance | 211 (sex not reported), 97 elite athletes | Swimming; UK | Elite performers interpreted anxiety as more facilitative to performance than non-elite performers. Furthermore, self-confidence was higher in the elite group. Findings supported the distinction between intensity and direction of competitive state anxiety symptoms |
Koivula et al. [34] | Quantitative; cross-sectional, observational | Effects of anxiety, self-confidence, self-esteem | 178 (109:69) | Various; Sweden | Self-esteem based on respect for self was associated with more positive patterns of perfectionism, while self-esteem dependent on competence aspects showed more negative perfectionism. Negative patterns of perfectionism were related to higher levels of cognitive anxiety and lower levels of self-confidence |
Authors | Type | Purpose |
N (male:female) | Sport; country | Main findings |
---|---|---|---|---|---|
Byrne and McLean [35] | Quantitative; cross-sectional, observational | EDs, elite athletes and non-athletes | 263 (108:155) elite athletes, 263 matched controls | Various; Australia | Results suggested that athletes have a higher prevalence of EDs, especially in sports emphasising thin shape (leanness) or low weight. Rates of EDs were higher in female athletes. Athletes competing in sports that emphasise the importance of a thin body shape or low body weight appear to be particularly vulnerable |
Filaire et al. [36] | Quantitative; cross-sectional, observational | Maintenance of body weight and risk of EDs | 44 (44:0) [27 elite athletes, 17 controls] | Judo and cycling; France | 4 % of athletes reported self-induced vomiting, 10 % reported use of laxatives and 8.5 % reported use of diet pills. Athletes reported greater negative feelings about their physical appearance and their body weight satisfaction than controls (P < 0.01 and P < 0.05, respectively). Depression accounted for >60 % of bulimia and ED scores |
Hausenblas and Symons Downs [37] | Quantitative; meta-analysis | Literature review; body image in athletes and non-athletes | 19 studies with elite athletes, sex not reported | Various; various | Overall findings highlighted that athletes had a more positive body image than non-athletes. The effect size for this difference was small. Overall, there was no difference between male athletes and female athletes or according to age or body mass index |
Hulley and Hill [38] | Quantitative; cross-sectional, observational | EDs and general health and wellbeing | 181 (0:181) | Distance runners; UK | Levels of anorexia nervosa and EDNOS were higher than expected in similarly aged, non-athletic women. 29 athletes (16 %) had an ED at the time of the study, 6 had received previous treatment for an ED. The demands for leanness rather than exercise intensity appeared to be the main risk in these elite runners |
Jonnalagadda et al. [39] | Quantitative; cross-sectional, observational | Food preferences, body image perceptions, dieting | 49 (23:26) | Figure skating; USA | Disordered eating and preference for a thin body contour were reported among this group of athletes, particularly in females. 44 % of males considered themselves overweight. Of the females, 30 % considered themselves overweight and 77 % were terrified about gaining weight. Females exhibited a higher body dissatisfaction score than their male counterparts |
Sundgot-Borgen [40] | Quantitative; cross-sectional, observational | Risk factors for EDs in female athletes | 603 (0:603) | Various; Norway | Rate of EDs was higher in sports emphasising leanness. Athletes with EDs began both sport-specific training and dieting earlier. Onset of EDs was associated with prolonged dieting, weight fluctuation, sudden increase in training and traumatic events (e.g. injury) |
Sundgot-Borgen and Torstveit [21] | Quantitative; cross-sectional, observational | EDs in athletes and non-athletes | 1620 (960:660) [control group N = 1696] | Various; Norway | EDs were more likely to be observed in athletes relative to controls, with a higher prevalence observed in female athletes and leanness-dependent and weight-dependent sports. Management of EDs requires a collaborative effort (i.e. coaches, athletic trainers, parents, physicians and athletes) |
Terry et al. [41] | Quantitative; cross-sectional, observational | Influences on eating, body shape perception, mood | 103 (59:44) | Rowing; UK | Risk of EDs among elite rowers was moderated by age, sex and weight category; body shape concerns were greater for younger athletes, greater for heavyweights than lightweights and greater for females than for males. Results suggests that measures of mood may help identify athletes at risk of EDs |
Terry and Waite [42] | Quantitative; cross-sectional, observational | Influence of age, sex and weight on EDs | 124 (62:62) | Rowing; UK | Significantly higher eating attitude and body shape scores among lightweight athletes, with females’ body shape scores significantly higher than males’. Eating attitude and body shape were inversely correlated with age. Results suggested that the risk of EDs among elite rowers is mediated by age, sex and weight category |
Torstveit et al. [43] | Quantitative; cross-sectional, observational | Disordered eating in female athletes | 1276 (0:1276) [669 elite athletes, 607 controls] in part 1; 331 (0:331) [186 elite athletes, 145 controls] in part 2 | Various; Norway | No differences between athletes and controls with respect to any of the criteria for disordered eating or clinical EDs. It was estimated that 28.1 and 20.8 % of the total population of athletes and controls, respectively, had clinical EDs. Predictors of clinical EDs were menstrual dysfunction in leanness athletes, self-reported EDs in non-leanness athletes and self-reported use of pathogenic weight-control methods in controls |
Authors | Type | Purpose |
N (male:female) | Sport; country | Main findings |
---|---|---|---|---|---|
Gouttebarge et al. [44] | Quantitative; cross-sectional, observational | Prevalence of mental health problems and psychosocial difficulties in current and former professional footballers | 301 (301:0) [180 current players] | Football; Various | Prevalence of mental health problems ranged from 5 % (burnout) to 26 % (anxiety/depression) in current professional footballers. Prevalence of psychosocial difficulties ranged from 3 % (low self-esteem) to 26 % (adverse nutrition behaviour) in current professional footballers. Mental health problems were significantly associated with low social support and recent life events (former and current players). In current players, major life events in the previous 12 months were positively associated with distress, burnout and anxiety/depression. Low social support from trainer or coach was associated with burnout, and low social support from teammates was associated with anxiety/depression |
Gulliver et al. [23] | Quantitative; cross-sectional, observational | Prevalence of mental health problems | 224 (206:118) | Various; Australia | Overall, 46.4 % of athletes were experiencing symptoms of at least one of the mental health problems assessed, with rates consistent with findings in epidemiological studies of international athlete and community samples: depression (27.2 %), eating disorder (22.8 %), general psychological distress (16.5 %), social anxiety (14.7 %), generalised anxiety disorder (7.1 %) and panic disorder (4.5 %). Injured athletes had higher levels of both symptoms of depression and generalised anxiety disorder |
Hammond et al. [45] | Quantitative; cross-sectional, observational | Prevalence of depression | 50 (28:22) | Swimming; Canada | Before competition, 68 % of athletes met criteria for a major depressive episode within the previous 3 years (34 % current), with higher rates observed in female athletes. Prevalence halved after competition; however, 26 % self-reported mild to moderate symptoms of depression. Prevalence of depression doubled among the elite top 25 % of athletes assessed, and, within this group, performance failure was significantly associated with depression |
Kotnik et al. [46] | Quantitative; cross-sectional, observational, comparison study | Psychological traits and any sex differences | 62 (37:19) | Various; Slovakia | Female athletes reported greater anxiety, while male athletes reported higher self-confidence scores and masculinity. There were no sex differences in irritability, depression or neuroticism. There was a trend (P = 0.057) towards higher impulsivity scores in males. Stressful life situations tended to be managed by problem solving, logical analysis, positive reappraisal and seeking support |
Mahoney [47] | Quantitative; cross-sectional, observational | Psychological variables associated with performance | 67 (48:19) | Weight lifting; USA | Less interpersonal sensitivity, depression, psychoticism and psychological distress were reported in highly successful athletes. Trends were observed whereby successful athletes were more motivated (P < 0.07) and had higher self-esteem (P < 0.10). The most successful elite athletes indicated a composite picture of being less depressed and interpersonally sensitive yet more anxious and angry than their less successful counterparts |
Meyers and Bourgeois [48] | Quantitative; cross-sectional, observational | Psychological skills of elite and ‘sub-elite’ equestrian athletes | 54 (sex breakdown not reported) | Equestrian; USA | Elite competitors exhibited significantly higher scores for anxiety management and concentration than sub-elite athletes. Males exhibited greater vigour but less tension, depression, confusion and mood disturbance than females. Male athletes also scored higher in anxiety management and confidence. Female competitors indicated higher motivation |
Morgan et al. [49] | Mixed method; cross-sectional, observational | Psychological characteristics and performance | 14 (14:0) | Distance runners; USA | Athletes in this study showed low tension, depression, anger, fatigue and confusion scores, and high vigour scores. The measure of global mood and trait anxiety accounted for 45 % of the variance in athlete performance, highlighting the link between positive mental health and performance |
Nixdorf et al. [50] | Quantitative; cross-sectional, observational | Prevalence of depressive symptoms and possible associated factors | 134 (78:56) in elite group | Various; Germany | 15 % prevalence of depression among elite athletes; higher levels of depressive symptoms observed among individual athletes than among team athletes. Depressive symptoms correlated with high levels of chronic stress, negative coping strategies and negative stress-recovery states. Results indicated that prevalence of depressive symptoms in elite athletes was comparable to that in the general German population |
Schaal et al. [51] | Quantitative; cross-sectional, observational, retrospective | Psychological problems encountered, variations between sex and sport type | 2067 (1339:728) | Various; France | 17 % of athletes had at least one ongoing or recent mental health disorder; higher rates of psychopathology were observed in females. Female predominance applied to anxiety and eating disorders, depression, sleep problems and self-harming behaviours. Highest rates of generalised anxiety appeared in aesthetic sports. Eating disorders were most common among women in racing sports and men in combat sports |
Wughalter and Gondola [52] | Quantitative; cross-sectional, observational | Psychological profile of elite athletes | 16 (0:16) | Tennis; various | Older female athletes were significantly more likely to score higher on the vigour mood state and lower on all other mood states (tension, depression, anger, fatigue and confusion scores) than college-aged women |
Authors | Type | Purpose |
N (male:female) | Sport; country | Main findings |
---|---|---|---|---|---|
Dietze et al. [54] | Quantitative; cross-sectional, observational | Alcohol consumption and alcohol-related harms | 582 (582:0) | Australian Rules Football; Australia | In comparison with age- and sex-matched community scores, risky/high-risk consumption for long-term harm in players was lower during the playing season and higher during both the end-of-season period and the vacation period. Risky/high-risk drinking and short-term harm were frequent throughout the year, and reports of harmful effects of drinking and negative consequences were common (e.g. fighting while drinking). Club rules on alcohol consumption had little effect on outcome measures |
Dunn et al. [55] | Quantitative; cross-sectional, observational | Prevalence of illicit drug use | 974 (736:238) | Various; Australia | One third of the sample had opportunity to use illicit drugs in the previous year; overall prevalence was lower than that reported by the general population. 7 % of the sample indicated use of at least one illicit drug in the previous year, and one fifth reported having ever used cannabis. Knowing other athletes who used illicit drugs, being offered or having opportunity to use drugs and identifying as a ‘full-time athlete’ significantly predicted recent drug use |
Dunn et al. [57] | Quantitative; cross-sectional, observational | Illicit drug use and consensus estimates | 974 (736:238) | Various; Australia | Participants tended to report that there was a higher prevalence of drug use among athletes in general than among athletes in their sport, and these estimates appeared to be influenced by participants’ drug use history. While overestimation of drug use by participants was not common, this overestimation also appeared to be influenced by athletes’ drug use history |
Dunn and Thomas [56] | Quantitative; cross-sectional, observational | Factors associated with illicit drug use | 1684 (1212:472) | Various; Australia | 8 % of the sample reported use of at least one illicit drug in the previous year. Predictors of use were identified: being offered or having opportunity to use illicit drugs in the previous year, knowing other athletes who used drugs and status as a full-time athlete. Athletes are part of a sports network (which includes family, coaches, support staff and other athletes), and these relationships may encourage use of, supply of and demand for drugs |
Harcourt et al. [58] | Quantitative; longitudinal, experimental (no controls) | Illicit drug–testing programme | 640 (640:0) | Australian Rules Football; Australia | Steady decline in the annual number of positive tests over the 7 years of the programme. An association between alcohol consumption and illicit drug use was observed. Illicit drug use was mostly conducted away from team mates. Using a harm minimisation strategy can work effectively alongside relevant anti-doping codes |
O’Brien et al. [59] | Quantitative; cross-sectional, observational | Hazardous drinking and level of sport participation | 430 (147:283) [270 in elite group] | Various; New Zealand | Elite sportspeople reported higher rates of hazardous drinking than non-sportspeople and non-elite sportspeople. International/country–level sportspeople also reported greater symptoms of dependence than other groups |
O’Brien et al. [60] | Quantitative; cross-sectional, observational | Hazardous drinking and drinking motives | 1214 (630:584) [275 in elite group] | Various; New Zealand | Elite provincial sportspeople reported the highest level of hazardous drinking, and elite international sportspeople reported the lowest. Elite provincial sportspeople and elite international sportspeople placed more emphasis on drinking as a way to cope with the stresses of participating in their sports |
Thomas et al. [61] | Mixed method; cross-sectional, observational | Knowledge of illicit drugs and information seeking | 974 (sex not reported) | Various; Australia | Athletes were confident in their knowledge of the effects of illicit drugs, such as cannabis and methamphetamine, but less confident in their knowledge of the effects of others (e.g. GHB and ketamine). Many felt that teammates would benefit from more information, delivered to athletes in a specific and relevant manner. Stigma was attached to information seeking |
Waddington et al. [62] | Quantitative; cross-sectional, observational | Prevalence of illicit drug use | 706 (sex not reported) | Football; England | Recreational drugs were commonly used by professional footballers; 45 % knew players who used recreational drugs. One third of players had not been tested for drugs within the preceding 2 years, and 60 % felt that they were unlikely to be tested in the next year |
Authors | Type | Purpose |
N (male:female) | Sport; country | Main findings |
---|---|---|---|---|---|
Anshel and Si [73] | Quantitative; cross-sectional, observational | Coping styles for acute stress | 391 (253:138) | Various; China | Responses to stressful events were highly correlated with the athlete’s coping style (either approach or avoidance). Avoidance-coping style was more common than approach coping and was associated with turning one’s attention to the next task at hand, learning from the experience and perceiving the stressor as a normal part of the contest |
Belem et al. [74] | Quantitative; cross-sectional, observational | Impact of coping strategies on resilience | 48 (24:24) | Volleyball; Brazil | Athletes invited to the Brazilian team showed high levels of resilience. A number of coping skills impacted resilience: personal coping resources, coping with adversity, confidence and motivation, goal setting/mental preparation and coachability. Use of coping strategies to overcome problems, having defined goals, and motivation and concentration during competitions have a significant impact on development of a resilient profile in elite athletes |
Devantier [75] | Quantitative; cross-sectional, observational | Psychological factors and injury vulnerability | 87 (87:0) | Soccer; Denmark | Somatic anxiety and coping with adversity were the best predictors of injury severity. Coping with adversity was also a significant predictors of injury duration. Players with a history of previous injuries experienced more competitive trait anxiety than players not previously injured |
Didymus and Fletcher [64] | Quantitative; longitudinal, observational | Coping strategies in response to organisational stressors | 15 (8:7) | Swimming; UK | Employing one coping ‘family’ in isolation was perceived to be more effective than employing a combination of coping families. Self-reliance was perceived as the most effective coping family that was used in isolation, and escape and negotiation were perceived as the most effective combination of coping families. Stressful appraisals were associated with varied coping strategies |
Dugdale et al. [76] | Quantitative; cross-sectional, observational | Coping with expected and unexpected stressors | 91 (sex not reported) | Various; New Zealand | Unexpected stressors were perceived as more threatening than expected stressors. Athletes indicated a tendency to hold back from responding to unexpected stressors. Athletes used a variety of strategies to cope, with the highest ratings for acceptance, increasing efforts and planning. Venting of emotions, humour and denial were rated least frequently |
Gastin [65] | Quantitative; longitudinal, observational | Monitored coping over the season | 27 (sex not reported) | Australian Rules Football; Australia | Players generally coped well with the demands of elite competition; however, relative poor sleep quality was observed. Pain/stiffness and sleep quality had the highest average scores (poor). Subjective ratings of physical and psychological wellness were sensitive to changes to weekly training |
Grove and Hanrahan [85] | Quantitative; cross-sectional, observational | Psychological strengths profile; athlete and coach comparison | 39 athletes (15:24), 5 coaches | Field hockey; Australia | Ranking by players (greatest perceived strength to weakness): control of anxiety, maintaining concentration, planning and analysis, emotional control, use of imagery, maintaining self-confidence. Coaches perceived players to be relatively good at maintaining concentration and self-confidence, though relatively poor at controlling emotions and tension |
Gutmann et al. [66] | Quantitative; longitudinal, observational | Psychological impact of training | 11 (11:0) | Speed skating; USA | Stress reactivity and emotional lability likely to be detrimental to performance and characteristic of less experienced athletes. The most common acute stress reported was pain and fatigue, which had a cumulative effect on physical and psychological states. Associative and dissociative cognitive strategies were used to cope with acute stress. Setting daily goals, social support and maximising intrinsic rewards were used for coping with chronic stress |
Ivarsson [67] | Quantitative; longitudinal, observational | Psychological predictors of injury | 56 (38:18) | Soccer; Sweden | Trait anxiety, negative-life-event stress and daily hassles significantly predicted injury among professional soccer players, accounting for 24 % of variance |
Johnson [79] | Quantitative; cross-sectional, observational, comparison study | Personality, mood and coping ability and injury | 81 (65:16) | Various; Sweden | Injury was found to result in a depressed mood and in activation of coping strategies directed at receiving help. Female athletes become more anxious and tense, and used more emotion-focused coping strategies, than male athletes. Team-sport athletes were found to cope more in terms of ‘passive acceptance’ of help from others, whereas individual athletes were found to activate ‘problem-solving’ strategies in face of a stressor |
Kristiansen et al. [77] | Mixed method; cross-sectional, observational | Relationship between task involvement and coping strategies | 82 (60:22) | Wrestling; Europe | Being task involved was associated with use of more adaptive coping strategies (e.g. active coping, emotional support, instrumental support and positive reframing) than being ego involved. A total of 55 % of the variance in the choice of coping strategy was explained by task involvement (task orientation and mastery climate) |
Kristiansen et al. [86] | Quantitative; cross-sectional, observational | Stress and motivation | 82 (82:0) | Football; Europe | A mastery climate was directly and negatively associated with coach–athlete stress, while a performance climate was directly and positively associated with coach–athlete stress |
Maestu et al. [68] | Quantitative; longitudinal, validation | Stress and recovery | 12 (12:0) | Rowing; Estonia | Training volume associated with changes in fatigue (R = 0.66) and changes in general wellbeing (R = −0.62). Results demonstrated an increase in stress during a high-volume training period, and a decrease during the recovery period. An opposite effect was found in recovery scales |
Mahoney and Avener [80] | Quantitative; cross-sectional, observational | Psychological factors and cognitive strategies | 12 (12:0) | Gymnastics; USA | Self-verbalisations and certain forms of mental imagery differentiated Olympic-level and non-Olympic-level gymnasts. All finalists used imagery extensively, but the better athletes reported a higher frequency of ‘internal’ rather than ‘external’ images, and better gymnasts experienced greater self-confidence |
Nicholls et al. [69] | Mixed method; longitudinal, observational | Stressors and coping strategies | 8 (8:0) | Rugby; Europe | Frequently cited stressors were injury concerns, mental errors and physical errors, with a general decline in frequency as the season progressed. The most frequently cited coping strategies were increased concentration on task, blocking, positive reappraisal and increasing effort. Problem-focused coping strategies were used most frequently, followed by avoidance coping then emotion-focused coping |
Nicholls et al. [71] | Mixed method; longitudinal, observational | Stressors and coping strategies | 5 (5:0) | Rugby; various | Differences in stressors were identified in comparison of match and training days. Anxiety was the most cited emotion during training days and anger was the most cited emotion during match days. Coping effectiveness was greater during training than during matches. Emotional intensity was negatively associated with coping effectiveness |
Nicholls et al. [70] | Mixed method; longitudinal, observational | Stressors and coping strategies | 10 (5:5) | Cross-country running; UK | Stressors such as injury, illness and fatigue were more prominent during training than during competition. Athletes used more problem solving, planning, behaviour change and positive self-talk during training. Increasing effort and blocking were used more often during competition. Problem-focused coping strategies were associated with greater control of stressors, and a significant negative correlation occurred between stressor intensity and coping effectiveness |
Noblet et al. [81] | Quantitative; cross-sectional, observational, validation | Stressors, job strain, psychological health | 255 (255:0) | Australian Rules Football; Australia | Job control and work support were significant predictors of the dissatisfaction experienced by study participants. Only social support had a significant impact on both psychological health and job satisfaction outcomes. Strong links between club-based support and player wellbeing indicated that elite sporting organisations need to closely monitor the effectiveness of the social support provided by coaching staff, team mates and other club sources. The football-specific stressor that was predictive of both health and job satisfaction outcomes was post-football uncertainty |
Pensgaard and Ursin [82] | Mixed method; cross-sectional, observational | Stressors and coping strategies | 69 (49:20) | Various (winter sports); Norway | Stress was mainly experienced prior to competition. External distractions and expectations were the most frequently reported stress experiences. The coach was viewed as a major source of stress, with a subsequent lack of control and low satisfaction with performance. Type of stress was more detrimental to performance than time of experience |
Pensgaard and Roberts [83] | Quantitative; cross-sectional, observational | Sources of distress, motivation, role of coach | 69 (49:20) | Various (winter sports); Norway | Performance climate significantly predicted high total distress. Athletes with lower perceptions of ability perceived the coach to be more a source of distress than athletes with high perceptions. Perception of a mastery climate was negatively associated with the coach as a source of distress |
Pensgaard and Roberts [84] | Mixed method; cross-sectional, observational | Sources of distress, motivation, role of coach | 7 (5:2) | Skiing; Norway | All athletes rated very highly on task orientation, and in the moderate to high range on ego orientation. Most athletes perceived a high mastery climate and a low performance climate. Athletes emphasised the importance of the coach as creating the climate, as preferences for a supportive and caring climate |
Wippert and Wippert [72] | Quantitative; longitudinal, observational | Stressors (career ending) and coping strategies | 40 (17:23) | Skiing; Germany | Athletes who experienced supportive termination (involving discussion with coaches) acknowledged fewer symptoms of traumatic stress than those who experienced socially disintegrative termination. Nearly 20 % of participants acknowledged clinically relevant levels of traumatic stress at 3 and 8 months post-termination |
Authors | Type | Purpose |
N (male:female) | Sport, country | Main findings |
---|---|---|---|---|---|
Help seeking | |||||
Gulliver et al. [11] | Quantitative; experimental, RCT | Internet-based intervention to increase mental health help seeking | 59 (16:43) | Various; Australia | None of the interventions were efficacious in improving either attitudes, intentions or behaviour for mental health help seeking. Athletes had relatively high intention to seek help from formal sources at pre-intervention and more positive attitudes at pre-intervention than members of a general population sample of a similar age |
Sleep | |||||
Richmond et al. [53] | Quantitative; longitudinal, observational | Effects of interstate travel on sleep patterns | 19 (19:0) | Australian Rules Football; Australia | In comparison with baseline, sleep duration was greater on the nights before home and away games (by 48 and 39 min, respectively, P < 0.05). Relative to home games, sleep ratings were poorer before away games (P < 0.05). Other sleep measures were unchanged. The authors concluded that interstate travel exerted minimal effect on sleep quality |
Wellbeing | |||||
Lundqvist and Raglin [63] | Quantitative; cross-sectional, observational | Psychological factors associated with wellbeing | 104 (49:54) | Orienteers; Sweden | Level of psychological need dissatisfaction and perfectionistic concern, combined with self-esteem and need satisfaction, were all relevant indicators of elite athletes’ wellbeing and perceived stress profiles. Need dissatisfaction assessed independently from need satisfaction may act to influence the wellbeing/stress pattern |