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Retirement Difficulties in Spanish Athletes: The Importance of the Career Path

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Running head: PREDICTING DIFFICULTIES AFTER RETIREMENT

Predicting Retirement Difficulties in Elite Spanish Athletes 1 2 3 4 5 6

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Abstract

Objective: The aim of the present study was to analyze the relative importance of voluntary

termination, pre-retirement planning, satisfaction with one's sport achievements, and type of career path on the difficulties perceived by athletes in the transition out of sport.

Design and method: A descriptive, quantitative research study with the use of a survey was

carried out. An online questionnaire based on both the Social and Working Integration Questionnaire previously applied by the National Olympic Committee of Spain (Barriopedro, Muniesa, & López de Subijana, 2016) and the Spanish adaptation (González, & Torregrosa, 2009) of the Athlete Retirement Questionnaire (Alfermann, Stambulova, & Zemaityte, 2004) was sent to Spain’s retired elite athletes. Four hundred seventy-seven elite athletes (298 males and 179 females) completed the questionnaire.

Results: Athletes who retired involuntarily reported more problems with their professional

career, health, and finances. Planning the retirement in advance predicts difficulties in the areas of studies, family, and leisure, while satisfaction with one's sport achievements predicts the degree of difficulty in areas such as social network, leisure, and finances. As expected, career path predicted difficulties related to studies and finances.

Conclusions: Factors identified in literature as connected with quality in retirement affect this

quality of the adaptation process in different areas. This study would help sport psychologists not only to predict quality in sport retirement but also to prevent specific difficulties associated with athletes’ retirement process.

Keywords: elite sport; retirement; factors; difficulties.

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Predicting Difficulties after Retirement in Elite Spanish Athletes

Research on career transitions out of sport has been growing steadily over the past three decades. In the early stages, researchers focused on causes and consequences of athletes’ retirement and then moved on to identifying predictors of the quality of athletes’ career transitions (Wylleman, Alfermann, & Lavallee, 2004). Nowadays, career research is following a culturally informed approach rather than a universal method that could be transferred to any culture (Stambulova, 2012, p. 177). Taking the major cultural traditions (North American, Australian, Western European, and Eastern European) and the emerging cultures (Asian, African, and South American) as references, concerns about athletes’ lives beyond their sport career is clear (Stambulova, Alfermann, Statler, & Côté, 2009; Stambulova, & Ryba, 2013; Stambulova, & Ryba, 2014).

The career transition models used in the athletic retirement studies (Gordon, 1995; Schlossberg, 1981; Stambulova, 2003; Taylor, & Ogilvie, 1994) characterized athletic retirement as a process rather than as a singular event. These models emphasize pre-conditions related to career termination, perceived demands during transition, coping strategies, and consequences of transition. Furthermore, the holistic model in career development is well recognized today (Wylleman, & Lavallee, 2004). This model considers the athlete to be a unique entity and it takes into account various dimensions of the athlete: his or her sport performance, development as person, relationships with others, academic/vocational dimension, and finances (Wylleman, Reints, & De Knop, 2013).

The last systematic review (Park, Lavallee, & Tod, 2013), which included studies conducted from the 1960’s to 2010, identified different correlates with respect to the quality of athletes’ career transitions out of sport. They categorized the topics into two themes based on two models proposed by Gordon (1995) and Taylor and Ogilvie (1994): factors related to

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the quality of career transition and available resources during the career transition. Voluntariness of retirement decision, career/personal development, sport career achievement, and educational status are included among the factors related to the quality of career transition while pre-retirement planning is included in the available resources category.

Several studies have found that voluntariness of retirement decision, related to the degree of control athletes have over their decision to retire, is positively associated with the quality of career transition (Alfermann, 2000; Alfermann, & Gross, 1997; Cecić Erpič, 1999, 2001; Cecić Erpič,Wylleman, & Zupančič, 2004; McPherson, 1980; Webb, Nasco, Riley, & Headrick, 1998; Werthner & Orlick, 1986). Athletes who experienced forced retirement have shown high levels of negative emotions (Fortunato, & Marchant, 1999; Zaichkowsky, King, & McCarthy, 2000), a sense of betrayal and social exclusion (McKenna, & Thomas, 2007), and a loss of identity (Lotysz, & Short, 2004).

Pre-retirement planning has the largest influence on adaptation to post-sport life (Pearson, & Petitpas, 1990; Stambulova et al., 2009). A wide range of difficulties associated with career termination has been related to athletes’ resistance to pre-retirement planning (Ogilvie, & Taylor, 1993; Werthner, & Orlick, 1986). Planning could be considered a cognitive structure before career termination, on academic, psychological, and economic issues. Pre-retirement planning has been positively related to the quality of athletes’ career transitions in most previous studies (Park et al., 2013). Athletes who planned their retirement were able to adapt more quickly, reported greater life satisfaction, and showed more positive and fewer negative emotional reactions to career termination (Alfermann, Stambulova, & Zemaityte, 2004; Stambulova, Stephan, & Jäphag, 2007; Torregrosa, Boixadós, Valiente, & Cruz, 2004). 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77

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Previous studies highlighted that planning was associated with the athletes’ vocational adjustment to life after their sport career (Coakley, 2006). Moreover, financial planning directly influenced the quality of the athletes' life adjustments (Fortunato, & Marchant, 1999). As planning and setting goals in sport is a complex task and does not depend solely on the athlete, when athletes have planned and set goals in areas outside of sport, it has felt easier and more comfortable (Warriner, & Lavallee, 2008; Young, Pearce, Kane, & Pain, 2006).

Although few studies considered sport achievements as a variable, all of them reported a positive correlation between them and the quality of the career transition (Park et al., 2013). Career termination appeared to be facilitated by a feeling of achievement regarding their sport career (Debois, Ledon, & Wylleman, 2015). Retired athletes who had succeeded in their sport showed fewer occupational difficulties (Cecić Erpič et al., 2004). In contrast, those who had not achieved their expected sporting goals expressed a high degree of psychosocial difficulties and difficulties in organizing their lives outside of sport (Chow, 2001; Koukouris, 1994).

The European Union coined the term “dual career” (DC) as the career that an elite athlete has in terms of studying and/or working while at the same time pursuing high-performance sport (European Commission, 2012). As one of the aims of Europe 2020 is to raise the employment rate, the promotion of athletes’ dual careers could be seen as an aligned strategy. If this population reaches a higher level of education, their employment possibilities would also increase.

Several studies reported that a dual career benefits retirement transition (Borggrefe, & Cachay, 2012; Lupo, Tessitore, Capranica, Rauter, & Doupona Topic, 2012; Debois, Ledon, & Wylleman, 2015; Torregrosa, Ramis, Pallarés, Azocar, & Selva, 2015; Tshube, & Felz, 2015). Vocational development and education can be seen as individual resources that can

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help athletes to overcome transition barriers in the coping process (Stambulova et al., 2009). Nowadays, combining sport and studies has become important as higher education is a key element for achieving a successful occupation after sport. Studies that have examined educational level have reported positive correlations with the quality of athletes’ career transitions, and low educational achievements were related to vocational difficulties during the career transition process (Marthinus, 2007; Stronach, & Adair, 2010). Furthermore, the dual career promotes developing multiple identities, which contributes to an easier and faster adaptation to the post-sport life (Aquilina, 2013; Borggrefe, & Carchay, 2012; Torregrosa et al., 2015).

Since some of those factors involved in the quality of a retirement are not independent (i.e. pre-retirement planning and voluntary termination), the aim of the present study was to analyze the relative importance of each of those four factors (voluntary termination, pre-retirement planning, satisfaction with one's sport achievements, and type of career path) on the quality of athletic retirement, expressed as sports career termination difficulties in seven areas: professional career, studies, family, social network, leisure, health, and finances.

Methods Participants

The population targeted in this study was the retired elite athletes named in the Spanish Government's official list. A purposive sampling was applied to over 3605 elite athletes from that population. From the total questionnaires sent, 554 were completed. Seventy-seven questionnaires were not included in the data analysis: 48 were from elite athletes that were retired for less than 2 years and 29 did not inform about their age or when they retired. The final sample was composed of 477 elite athletes, 298 males (62.5%) and 179

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females (37.5%). The average time elapsed since retirement was 9±6 years. Assuming the most unfavorable situation (p=q), the maximum error associated with a 95% confidence interval (CI) was ±4.3%. The participants were from 32 different sports: athletics, archery, badminton, baseball, basketball, boxing, canoeing, cycling, fencing, football, gymnastics, golf, handball, hockey, judo, modern pentathlon, horse riding, rowing, rugby, sailing, synchronized swimming, shooting, softball, swimming, taekwondo, tennis, triathlon, volleyball, water polo, weightlifting, winter sports, and wrestling.

Measures

An “ad hoc” questionnaire was developed based on both the Social and Working Integration Questionnaire applied by Spain's National Olympic Committee (Barriopedro, Muniesa, & López de Subijana, 2016) and the Spanish adaptation (González, & Torregrosa, 2009) of the Athlete Retirement Questionnaire (ARQ) (Alfermann, Stambulova, & Zemaityte, 2004). In order to assess the suitability and understanding of the questions, a pilot study with 15 athletes was carried out. The final version of the questionnaire was composed of 55 questions (54 with multiple choice, yes/no, or ranking responses and 1 open question) divided into five sections: sport profile, sociodemographic profile, academic profile, employment, the retirement process, and current relationship with sport.

The type of career path was assessed following the model of Pallarés, Azocar, Torregrosa, Selva and Ramis (2011). Participants were asked to describe their situation during the mastery stage. The four possible answers were: a) I was solely devoted to sport, b) I combined studies and sport but I gave priority to sport, c) I combined studies and sport but I gave priority to studies, and d) I combined sport and a working activity. Voluntariness was presented as a dichotomous question (involuntary/voluntary) as was planning the retirement in advance (yes/no). The degree of satisfaction with athletic achievements was assessed on a

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five-point scale (completely dissatisfied, moderately dissatisfied, difficult to answer, moderately satisfied, completely satisfied). Difficulties perceived by athletes after the transition out of sport in seven different areas (professional career, studies, family, social network, leisure, health, and economy) were assessed on a five-point Likert scale (from 1= no difficulties to 5 = severe difficulties).

Procedure

Descriptive, quantitative research that utilized a survey and applied an on-line questionnaire as the data-collecting tool was carried out. Contacting the sample from the retired elite Spanish athlete population was done through different stakeholders: the Spanish Sport Council, national sport federations, and elite athlete associations. Specifically, a snowball sampling technique was utilized (Patton, 1990). Prior to completing the questionnaire, the athletes were informed of the study as well as the fact that their participation was voluntary and anonymous. Data were collected from December 2015 to March 2016.

Data Analysis

Data analysis was done with the SPSS 20.0 version. Chi-square tests were used to analyze the bivariate relationship between the four potential predictors, and Cramer’s V (Vc) was used as the index for the effect size. The first step in building the multivariable multinomial logistic model involved fitting simple multinomial models between each of the potential predictors and the various difficulties variables. Data referring to degree of difficulty were collapsed into three different categories: “no difficulties” included levels 1 and 2 of the original Likert scale, “moderate difficulties” comprised level 3, and “severe difficulties” included levels 4 and 5. “No difficulties” was selected as the reference category. The dependent variables were the difficulties after retirement in seven areas. Career path,

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voluntariness, planning, and satisfaction with sport achievements were the predictor variables. For the purpose of facilitating the regression analysis, degree of satisfaction was recoded into two categories (satisfied/dissatisfied). The satisfied category comprised “moderately satisfied” and “completely satisfied” answers while dissatisfied included “completely dissatisfied”, “moderately dissatisfied” and “difficult to answer” responses. Variables that were significantly associated with the outcome were considered for inclusion in the multivariable multinomial model. Odds ratios (OR) and confidence intervals (95% CI) were calculated for all variables in the final models. Categories selected as references for calculating odds ratios were “solely sport” for career path, “voluntary” for voluntariness, “planned” for planning, and “satisfied” for satisfaction with sport achievements. Significance was established at .05.

Results

Eighty-three percent of the athletes retired voluntarily and 39.3% planned their retirement. The majority of them confirmed that they were satisfied with their sport achievements (78.6%). While 62.6% of the retired athletes studied and developed their sport career at the same time during their mastery stage, 35.3% of them gave priority to sport, and the rest gave no priority. Further, 21.4% combined work and sport, and 16% were focused only on sport.

Tables 1 and 2 show the associations between the predictors. Voluntariness was associated with planning (χ2(1) = 29.70; p <.001; Vc=.250). Among the athletes that retired from sport voluntarily, there were a higher number of subjects that planned their retirement (44.8%). Further, among those who finished voluntarily, a higher number tended to be satisfied with their results in competitions (χ2(1) = 6.72; p = .010; Vc=.119). Voluntariness was not associated with career path (χ2(3) = 6.61; p = .085).

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A larger number of respondents experienced satisfaction with their sport achievements when they planned their retirement (χ2(1) = 19.94; p < .001; Vc=.205). Finally, career path was not associated with planning the retirement in advance (χ2 (3) = 3.25; p = .354) or satisfaction with sport achievements (χ2(3) = 0.09; p = .993).

Table 1. The association between Voluntariness and Planning, Achievement Satisfaction, and Career Path Voluntariness (%) Voluntary (N=395) Involuntary(N=81) Total χ2 Vc Planning No 55.2 37.7 60.7 29.70* .250 Yes 44.8 12.3 39.3 Achievement satisfaction Dissatisfied 19.1 32.1 21.4 6.72* .119 Satisfied 80.9 67.9 78.6 Career Path Solely Sport 16.2 16.0 16.2 6.61 Sport>Studies 32.7 46.9 35.2 Sport-Studies 28.7 19.8 27.2 Sport-Work 22.3 17.3 21.5 * Statistically significant

Table 2. The association between Planning and Achievement Satisfaction and Career Path

Planning (%) No (N=289) Yes (N=187) Total χ2 Vc Achievement Satisfaction Dissatisfied 28.0 10.8 21.3 19.94* .205 Satisfied 72.0 89.2 78.7 Career Path Solely Sport 16.6 15.5 16.2 3.25 Sport>Studies 33.2 38.5 35.2 Sport-Studies 29.8 23.0 27.2 Sport-Work 20.4 23.0 21.5 Achievement Satisfaction No (N=101) Yes (N=372) χ2 Vc Career Path Solely Sport 16.8 15.9 16.2 0.09 Sport>Studies 34.7 35.5 35.2 Sport-Studies 27.7 27.2 27.2 Sport-Work 20.8 21.5 21.5 * Statistically significant

Table 3 shows the distribution of the degree of difficulty after retirement in seven areas for the four considered predictors. In the first stage, when the models of the multinomial logistic regression were computed with one variable at each step, the results showed that

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planning had significant simple associations with studies (χ2(2)= 8.75; p =.013), family (χ2(2)= 12.94; p = .002), leisure (χ2(2)= 9.09; p = .011), and financial (χ2(2)= 6.41; p = .040) difficulties. Voluntariness was significantly associated with health (χ2(2)= 20.49; p < .001) and financial (χ2(2)= 18.19; p < .001) difficulties. Satisfaction with sport achievements was associated with social network (χ2(2)= 6.16; p = .046), leisure (χ2(2)= 12.87; p = .002), and financial (χ2(2)= 9.76; p = .008) difficulties. Finally, career path was associated with studies (χ2(6)= 18.51; p = .005) and financial (χ2(6)= 22.88; p = .001) difficulties.

Table 3. Bivariate relationship of predictors with Difficulties after Retirement in seven areas

Degree of difficulty (%)

Professional Career Difficulties No Moderate Severe χ2 p

Planning Unplanned (N=273) 70.00 14.70 15.40 3.91 .142 Planned (N=172) 77.90 9.30 12.80 Voluntariness Involuntary (N=74) 56.80 21.60 21.60 11.50 .003 Voluntary (N=370) 76.50 10.80 12.70 Achievement Satisfaction Dissatisfied (N=93) 68.80 12.90 18.30 1.44 .487 Satisfied (N=351) 74.10 12.50 13.40

Career Path Solely Sport (N=69) 68.10 11.60 20.30 11.14 .084

Sport>Studies(N=159) 66.00 16.40 17.60

Sport-Studies (N=126) 78.60 11.10 10.30

Sport-Work (N=90) 81.10 8.90 10.00

Studies Difficulties No Moderate Severe χ2 p

Planning Unplanned (N=266) 76.30 10.50 13.20 8.75 .013 Planned (N=167) 87.40 4.80 7.80 Voluntariness Involuntary (N=75) 70.70 13.30 16.00 5.55 .062 Voluntary (N=357) 82.90 7.30 9.80 Achievement Satisfaction Dissatisfied (N=92) 73.90 12.00 14.10 3.24 .198 Satisfied (N=340) 82.40 7.40 10.30

Career Path Solely Sport (N=67) 68.70 10.40 20.90 18.51 .005

Sport>Studies(N=157) 76.40 12.10 11.50

Sport-Studies (N=122) 85.20 6.60 8.20

Sport- Work (N=87) 90.70 2.30 7.00

Family Difficulties No Moderate Severe χ2 p

Planning Unplanned (N=277) 82.30 6.10 11.60 12.94 .002 Planned (N=167) 84.40 12.00 3.60 Voluntariness Involuntary (N=75) 82.70 8.00 9.30 0.12 .942 Voluntary (N=368) 83.40 8.40 8.20 Achievement Satisfaction Dissatisfied (N=94) 80.90 9.60 9.60 0.41 .914 211 212 213 214 215 216 217 218

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Satisfied (N=349) 83.70 8.00 8.30

Career Path Solely Sport (N=70) 72.90 8.60 18.60 10.92 .091

Sport>Studies(N=157) 84.70 8.90 6.40

Sport-Studies (N=126) 84.90 9.50 5.60

Sport- Work (N=90) 85.60 5.60 8.90

Social Network Difficulties No Moderate Severe χ2 p

Planning Unplanned (N=275) 69.80 15.30 14.90 1.88 .390 Planned (N=169) 75.70 11.80 12.40 Voluntariness Involuntary (N=74) 64.90 16.20 18.90 2.56 .279 Voluntary (N=369) 73.70 13.60 12.70 Achievement Satisfaction Dissatisfied (N=96) 63.50 14.60 21.90 6.16 .046 Satisfied (N=347) 74.40 13.80 11.80

Career Path Solely Sport (N=71) 77.50 11.30 11.30 7.16 .307

Sport>Studies(N=159) 67.90 16.40 15.70 Sport-Studies (N=124) 68.50 14.50 16.90 Sport- Work (N=89) 80.90 10.10 9.00 Table 3. (Continued) Degree of difficulty (%)

Leisure Difficulties No Moderate Severe χ2 p

Planning Unplanned (N=276) 65.60 14.10 20.30 9.09 .011

Planned (N=172) 75.60 14.50 9.90

Voluntariness Involuntary (N=76) 60.50 15.80 23.70 4.04 .113

Voluntary (N=371) 71.40 13.70 14.80

Achievement satisfaction Dissatisfied (N=95) 54.70 17.90 27.40 12.87 .002

Satisfied (N=352) 73.30 13.40 13.40

Career Path Solely Sport (N=69) 72.50 8.70 18.80 3.39 .758

Sport>Studies(N=160) 68.80 16.30 15.00

Sport-Studies (N=127) 66.90 15.00 18.10

Sport-Work (N=91) 71.40 14.30 14.30

Health Difficulties No Moderate Severe χ2 p

Planning Unplanned (N=270) 65.60 16.70 17.80 4.53 .104

Planned (N=171) 71.90 17.50 10.50

Voluntariness Involuntary (N=76) 50.00 17.10 32.90 20.49 <.001

Voluntary (N=364) 71.70 17.00 11.30

Achievement satisfaction Dissatisfied (N=89) 59.60 21.30 19.10 3.52 .172

Satisfied (N=351) 70.10 16.00 14.00

Career Path Solely Sport (N=68) 64.70 19.10 16.20 4.17 .653

Sport > Studies (N=157) 64.30 17.80 17.80

Sport-Studies (N=124) 72.60 13.70 13.70

Sport-Work (N=91) 70.30 18.70 11.00

Financial Difficulties No Moderate Severe χ2 p

Planning Unplanned (N=274) 60.20 17.20 22.60 6.41 .040

Planned (N=169) 70.40 16.00 13.60

Voluntariness Involuntary (N=74) 45.90 16.20 37.80 18.19 <.001

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Voluntary (N=368) 67.70 16.80 15.50

Achievement satisfaction Dissatisfied (N=93) 50.50 20.40 29.00 9.76 .008

Satisfied (N=349) 67.60 15.80 16.60

Career Path Solely Sport (N=70) 51.40 22.90 25.70 22.88 .001

Sport > Studies (N=159) 57.90 16.40 25.80

Sport-Studies (N=124) 70.20 19.40 10.50

Sport-Work (N=89) 76.40 9.00 14.60

In the second stage, variables that were significantly associated with the outcome variables were given consideration for their inclusion in the multivariable multinomial model. Table 4 shows likelihood ratio chi-square tests for overall models and partial effects and goodness-of-fit chi-square statistics. Odds ratios (OR) and confidence intervals (95% CI) were calculated for all variables in the final models (Table 5).

Table 4. Model and fit information for multivariable multinomial logistic model

Likelihood ratio test Goodness-of-fit test

Predictor Χ2 df p χ2 df p

Studies Overall Model 27.70 8 0.001 9.11 6 .168

Planning 9.19 2 0.010

Career Path 18.84 6 0.004

Leisure Overall Model 18.37 4 0.001 4.71 2 .095

Planning 5.50 2 0.064

Ach. satisfaction 9.45 2 0.009

Finances Overall Model 46.33 12 <.001 32.50 42 .854

Planning 1.55 2 0.460

Voluntariness 9.25 2 0.010

Ach. satisfaction 5.76 2 0.056

Career Path 20.53 6 0.002

Only voluntariness in retirement significantly contributed to predicting difficulties in the athletes' professional careers. Those athletes that retired from sport involuntarily were more likely than those that quit voluntarily to perceive moderate (OR= 2.70; 95% CI: 1.39-5.24) or severe difficulties in their professional career (OR= 2.29; 95% CI: 1.19-4.41).

Difficulties with studies were predicted significantly by planning one's retirement and the career path chosen during the sport life. Athletes with an unplanned retirement were more

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likely than those with a planned retirement to perceive moderate (OR= 2.64; 95% CI: 1.16-6.02) or severe difficulties with studies (OR= 1.98; 95% CI: 1.01-3.92). Additionally, subjects who combined sport and work experienced both moderate (OR= 0.17; 95% CI, 0.03-0.88) and severe difficulties with studies (OR= 0.26; 95% CI: 0.09-0.72) to a lesser degree than those who focused only on sport. Athletes that combined sport and studies and placed the same priority on them suffered fewer severe difficulties in studies (OR= 0.31; 95% CI: 0.13-0.74) than those who focused only on sport.

The degree of difficulty in the area of family was only predicted by planning. Retired athletes related significantly more severe difficulty when they did not plan their post-sport career life (OR= 3.30; 95% CI: 1.35-8.09).

Table 5. Odds Ratio (OR) and 95% Confidence Intervals (CI) from Multinomial Logistic Regression Predicting Difficulties after Retirement in seven areas

Moderate Difficulties Severe Difficulties

95% CI 95% CI Professional Career OR LB UB OR LB UB Voluntariness Involuntary/Voluntary 2.70* 1.39 5.24 2.29* 1.19 4.41 Studies Planning Unplanned/Planned 2.64* 1.16 6.02 1.98* 1.00 3.92 Career Path Solely Sport 1.00 1.00 Sport-Work 0.17* 0.03 0.88 0.26* 0.09 0.72 Sport > Studies 1.09 0.43 2.79 0.51 0.23 1.12 Sport-Studies 0.48 0.16 1.42 0.31* 0.13 0.74 Family Planning Unplanned/Planned 0.53 0.27 1.04 3.30* 1.35 8.09 Social network Satisfaction Dissatisfied/satisfied 1.23 0.64 2.38 2.17* 1.19 3.93 Leisure Planning Unplanned/Planned 1.00 0.57 1.77 1.99* 1.09 3.64 Satisfaction Dissatisfied/satisfied 1.79 0.94 3.42 2.36* 1.32 4.20 Health Voluntariness Involuntary/Voluntary 1.44 0.72 2.87 4.19* 2.29 7.65 Finances 236 237 238 239 240 241 242 243 244 245 246 247

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Planning Unplanned/Planned 1.09 0.62 1.91 1.45 0.81 2.59 Voluntariness Involuntary/Voluntary 1.26 0.60 2.67 2.65* 1.42 4.94 Satisfaction Dissatisfied/satisfied 1.66 0.88 3.12 1.96* 1.08 3.55 Career Path Solely Sport 1.00 1.00 Sport-Work 0.27* 0.11 0.69 0.40* 0.17 0.92 Sport> Studies 0.64 0.30 1.33 0.84 0.42 1.69 Sport-Studies 0.61 0.29 1.28 0.29* 0.13 0.67 * Statistically significant

Reference group was "no difficulties perceived". Odds ratios are for "moderate difficulties" vs "no difficulties" and "severe difficulties" vs "no difficulties"

Satisfaction with sport achievements was associated with perceived difficulties in social network. Dissatisfied athletes reported significantly more severe difficulties (OR= 2.17; 95% CI: 1.19-3.93) than those who finished their sport career satisfied with their achieved goals.

The degree of difficulty in leisure was predicted by planning and by the degree of satisfaction with sport achievements. Athletes who did not plan their retirement were more likely than those who did plan their retirement to perceive severe difficulties in the area of leisure (OR= 1.99; 95% CI: 1.09-3.64). Dissatisfied athletes reported significantly more severe difficulties in leisure (OR= 2.36; 95% CI: 1.32-4.20) than those who finished their sport careers satisfied with their achieved goals.

Only voluntariness in retirement significantly contributed to predicting difficulties in health. Those athletes that retired from sport involuntarily experienced more severe difficulties related to health (OR= 4.19; 95% CI: 2.29-7.65) than those who retired from sport voluntarily.

The degree of financial difficulty was predicted by voluntariness, satisfaction with sport achievements, and career path. More severe financial difficulties were found for those

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who quit sport involuntarily (OR= 2.65; 95% CI: 1.42-4.94). Dissatisfied athletes reported significantly more severe financial difficulties (OR= 1.96; 95% CI: 1.08-3.55) than those who finished their sport careers satisfied with their achieved goals. Finally, those athletes who combined sport and work experienced less moderate (OR= 0.27; 95% CI: 0.11-0.69) and severe financial difficulties (OR= 0.40; 95% CI: 0.17-0.92) than those who were solely devoted to sport. Athletes that combined sport and studies and gave them the same degree of priority showed fewer severe difficulties (OR= 0.29; 95% CI: 0.13-0.67) than those who solely devoted themselves to sport.

Discussion

This quantitative study analyzes the relative importance of each of four factors on the difficulties perceived by athletes in the transition out of sport. The four factors include: voluntary termination, pre-retirement planning, satisfaction with sport achievements, and type of career path.

A vast majority (83%) of former elite athletes retired voluntarily. Despite the evident importance of pre-retirement planning, a number of studies have found that relatively few athletes made sufficient preparations for the end of their career (Alfermann et al., 2004; Cecić Erpič et al., 2004; Fortunato, & Marchant, 1999, Gilmore, 2008). These previous findings were supported in the current study, with only thirty-nine percent of the respondents indicating that they planned for their retirement. Spanish athletes planned their retirement in advance less often than other Western European athletes (55% of elite French athletes, 67% of Swedish athletes, and 74% of German athletes), despite the resemblance between the sociocultural contexts (Alfermann et al., 2004; Stambulova et al., 2007). Nevertheless, the

number of Spanish athletes who planned their retirement is similar to those of Russian

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athletes (Alfermann et al., 2004), Slovene athletes (Cecić Erpič et al., 2004), and female Scottish athletes (Gilmore, 2008).

Most of the athletes reported a high degree of satisfaction with their sport achievements, similar to that found in previous studies with Western European athletes (Alfermann et al., 2004, Stambulova et al., 2007). From the data of this sample, 83.8 % of the athletes followed a dual career (with studies or work) while 16.2% were focused solely on sport. This number is less than that cited (31.9%) in a previous study by Vilanova and Puig (2013).

These factors (voluntary termination, pre-retirement planning, satisfaction with one's sport achievements, and type of career path), identified in literature as associated with quality in retirement, are related to different areas of this adaptation process. Voluntariness predicts problems associated with professional career, health, and finances. Planning one's retirement in advance predicts difficulties in studies, family, and leisure areas; while satisfaction with sport achievements predicts the degree of difficulty in areas such as social network, leisure, and financial areas. As expected, career path predicts difficulties related to studies and finances.

Involuntarily retired athletes were 4.2 times more likely to experience severe health difficulties compared with those who retired voluntarily. This may be explained by all sport careers that were finished due to an injury. Previous studies (Park et al., 2013; Taylor, & Ogilvie, 1994, 1998) have pointed to injuries as one of the most common reasons for involuntary retirements.

Those athletes that finished their sport career involuntarily were 2.7 and 2.3 times more likely than those that finished voluntarily to perceive moderate and severe difficulties,

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respectively, in their professional career, and 2.7 times more likely to perceive severe financial difficulties. This outcome is consistent with findings by Cecić Erpič et al. (2004), which show that those who retired involuntarily experienced more frequent and severe occupational difficulties. These findings are not consistent with results from related research who found that voluntary retirement was associated with significantly greater emotional and social adjustment upon career termination (Gilmore, 2008; Lavallee et al., 1997; McKenna, & Thomas, 2007) but not with financial or occupational adjustment (Lavallee et al., 1997). As expected, athletes who experienced a voluntary transition out of their sport showed a higher level of pre-retirement planning. This fact explains why pre-retirement planning does not predict financial difficulties after removing the effect of voluntariness. The capacity of voluntariness to predict difficulties associated with one's professional career and finances is congruent with the fact that voluntary retirement is often linked to starting a professional occupation or obtaining vocational training (Alfermann et al., 2004; Cecić Erpič et al., 2004; Reints, 2011; Vilanova, & Puig, 2014).

Athletes who did not plan their retirement were 2.6 and 2.0 times more likely than those with a planned retirement to perceive moderate and severe difficulties in the area of educational studies, respectively, and 3.3 times more likely to perceive severe family difficulties. Furthermore, athletes with unplanned retirement were more likely (1.99 times) than those who planned their retirement to perceive severe difficulties in leisure. Previous studies found that athletes who planned their retirement are able to adapt more quickly, report greater life satisfaction, and have better emotional reactions to career termination (Alfermann, Stambulova, & Zemaityte, 2004; Stambulova, Stephan, & Jäphag, 2007) but they fail to find differences in terms of perceived quality of retirement in the difficulties considered in the present study (Stambulova et al., 2007).

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Some studies indicate that following a dual career of sport and studies may be seen as an opportunity to plan one's vocational future (Debois et al., 2015; Torregrosa et al., 2015). Others have found that it could imply a cognitive process of structuring one's future after sport career termination (Alfermann et al., 2004). However, this study found that career path was not associated with planning one's retirement in advance. This may reveal that some of these athletes are obligated to combine sport and studies, in accordance with the findings of previous studies, which reported that studying was mandatory in some families (Vilanova, & Puig, 2014). Furthermore, in Spain, financial grants to train at a high performance center are dependent on some kind of studies.

Athletes who were dissatisfied with sport achievements reported more severe difficulties in social network, leisure, and financial areas than those who finished their sport careers satisfied with their achieved goals. The athlete who was dissatisfied with his or her sport results was 2.17 times more likely to perceive severe difficulties in the area of social networking, 2.36 times more likely to perceive severe difficulties in the area of leisure, and 1.96 times more likely to perceive severe difficulties in the area of finances. These outcomes are in agreement with previous findings (Cecić Erpič et al., 2004; Chow, 2001; Koukouris, 1994) which showed that athletes who reported having achieved fewer athletic goals than expected, experienced more frequent and more severe psychological, occupational, and psychosocial difficulties.

The combination of sport training and another activity during the sport career contributes positively to the facilitation of the retirement process (Borggrefe, & Cachay, 2012; Lupo et al., 2012; Debois et al., 2015; Price et al., 2010; Torregrosa et al., 2015; Tshube, & Felz, 2015). Along these lines, the current study confirms greater difficulties reported by athletes focused solely on sport while those who worked or studied while

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simultaneously training for their sport seemed to deal better with the retirement in educational and economic areas. The results predicted 2.5 times more severe and 3.7 times more moderate difficulties related to finances for subjects focused only on sport than those who combined sport and work. Athletes who focused only on sport were predicted to have 3.5 times more difficulties than those combining sport and studies in a parallel model. Many of those athletes, who combined sport and studies simultaneously, had attained a university degree.

As educational level is a key issue in finding suitable employment, the more elite athletes reach a higher educational level, the fewer problems they would have in attaining employment once their sport career is finished (Cecić Erpič et al., 2004; Murphy, Petitpas, & Brewer, 1996; Vilanova, & Puig, 2014).

Moreover, it is expected that athletes who combined sport and work acquired previous vocational training, which will be particularly valued in the labor market. This could explain why those athletes experienced fewer difficulties entering the labor market as well as fewer financial difficulties. It seems that combining their mastery stage of the sport career with a second activity (studies or work) helps athletes to develop a second career for life outside of sport (Price et al., 2010; Vilanova, & Puig, 2014).

The same trend appears with regard to difficulties related to studies. Athletes who dedicate all their time to sport are predicted to have more than three times and more than five times more severe and moderate difficulties, respectively, than those who combined sport and work as well as more than three times more severe difficulties when compared to athletes who combined studies and sport simultaneously.

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The main strength of this study lies in its relatively large and homogeneous elite-level sample. The four hundred and seventy-seven retired elite athletes (all previously named to the Spanish Government's official list) contribute to a more accurate depiction of the impact of culture/sport system on athletic retirement studies from a European perspective. Regarding limitations, three should be pointed out. First of all, there is the risk of memory decay and recall bias associated with retrospective designs. Second, there is the variability of time after retiring from sport, possibly associated with changes in the social macro environment. For example, in Spain, finding a job after the 1992 Barcelona Olympic Games was easier than from 2000 to the present (Campos-Izquierdo, Gonzalez-Rivera, & Taks, 2016).

Third, retirement planning is based on one item with a yes/no response that does not specify the nature of retirement planning (Stambulova et al., 2007). Qualitative research should be conducted in order to develop multiple choice questions to improve the measurement of this variable in quantitative research.

Conclusions

In-depth exploration of the difficulties perceived by athletes in the transition out of sport, and their related factors, provides information for developing support services. Although a dual career plays a crucial role in ensuring an athlete’s future, particularly for career direction after sport, it does not significantly contribute to predicting difficulties in other areas. Support programs for elite athletes based on a holistic perspective should take into account the different components of an elite athlete’s life. Voluntary retirement, retirement planning, and satisfaction with one's sport achievements might be considered as transition resources that reduce difficulties related to family, social network, leisure, and health areas; thus, they need to be given consideration in these programs. Support programs

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in Spain should make an effort to provide athletes with knowledge and skills to help plan for life after a sport career, since these athletes planned their retirement in advance less often than other Western European athletes.

Acknowledgements

This research was funded by the 2015-2016 edition of the Advanced Research Grant Program of the Olympic Studies Centre of the International Olympic Committee (IOC).

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