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Motivation behind running among older adult runners



Recreational running has greatly increased over the last decade, and different research has tried to understand the motivation that leads these amateur athletes to run. However, most research has focused on adult athletes, while the motivation behind older adult athletes has been overlooked.


The aim of this research was to analyse the motivational aspects of amateur runners aged over 50 years, and to consider the influence that years of practice, type of participation and some socio-demographical variables have on these older adults’ motivation behind running. 244 older adult amateur athletes in total completed an online survey with the 56 items contained in the motivation of marathoners scales (MOMS), 108 of whom were female (44%), and 136 were male runners (56%). Athletes were asked about their years’ running experience (< 1 year, 1–5 years, 6–10 years, > 10 years), their participation in running events (recreationally, half marathon, marathon, ultramarathon) and age (ranges 50–60, more than 60 years), gender (male, female), family life (whether in a relationship or not), and whether they had children (yes, no).


The results showed statistical differences in the nine MOMS dimensions in terms of years’ running experience and participation in different running events. Moreover, older adult runners’ gender and age subsequently showed statistical differences with five and six motivational factors respectively, while athletes that did not have children were more likely to run regarding competition and showing recognition. Family life did not show any statistical association with any of the dimensions on the scale in this population, while regression analyses showed that, mainly, years’ running experience and participation were positively predicted, together with most motivational dimensions, while having children was negatively predicted in some of them.


This study showed that older adult runners’ reasons for participating differ from those obtained in previous studies, especially regarding training experience and participation in events. Therefore, the older adult population should be specifically addressed.

Peer Review reports


Running has become one of the main physical activity in recent years [1, 2]. and research into this topic has increased exponentially, with much being carried out worldwide in relation to various diverse factors linked to this practice, e.g. physical health benefits [3,4,5], physiology and nutrition [1, 6] and psychological aspects of running [1, 7,8,9,10]. However, while much previous research has focused on athletes’ performance [5, 11,12,13], although we can find some previous research on master athletes [14] and elderly motivation toward physical activity [15] or sport participation [16], it can be said that little research has been undertaken to try and explain amateur runners’ psychological, physiological, and pathophysiological aspects. Furthermore, since participation in endurance events has greatly increased, the reasons why those athletes take part in different races has become one of the main research questions in literature on the subject [17]. Therefore, recent research has tended to be focused on trying to understand the motivation behind athletes in different endurance races such as the triathlon [18,19,20,21,22,23], cycling [24,25,26,27] or different distance running events [28].

Since motivation is considered to be one of the key factors in sport psychology [29, 30], it has tended to be associated with very different topics, such as runners’ injuries [31, 32], or even comparing the motivational aspects of runners from different countries. [33]. However, most of the research related to running motivation has been carried out on marathon runners, especially since Masters et al. [34] developed the motivation of marathoners scale (MOMS), an instrument that has been mostly used in this research area. Apart from marathoners’ motivation behind participating [29, 35,36,37,38,39,40], athletes’ reasons for participating have been analysed in ultramarathons [30, 41,42,43], half-marathons [44, 45], park runs and city trails [46], with urban runners [47, 48], and even by comparing different distances such as 5 k, half marathons, full marathons, and ultramarathoners [28, 33]. Moreover, this worldwide phenomenon, even retaining to some extent the original question as to why runners voluntary expose themselves to such strain [34], this type of research has been developed in different countries. E.g. Poland [36, 40], Greece [37], the United States [38, 39] and Spain [29]. In fact, some studies have recently compared these types of motivation behind running cross culturally, in an attempt to ascertain whether there are any differences in reasons for participating between United Kingdom and Indian runners [33].

Athletes’ motivation may vary depending on some sociodemographic variables, and in previous research, runners’ motivation has been mostly associated with gender [28, 36, 37, 40, 45, 46, 49,50,51] probably due to the lower participation of female athletes in different running events [37]. Overall, this research shows that male participants’ motivation was more likely to be linked to achievement dimensions such as competition or personal goal achievement, while women athletes’ motivation was more closely linked to social motives like affiliation or psychological motives such as psychological coping, self-esteem or the meaning of life. Athletes’ age has also been widely associated with reasons for participating on the part of recreational runners [36,37,38, 40, 46, 52]. Previous data has shown that the age range of runners’ is of importance when it comes to participation motives, and especially with regard to achievement motives, such as competition and personal goal achievement linked to younger athletes. On the other hand, female athletes did not evidence such differences [37]. Apart from gender and age, other sociodemographic variables such as number of children [29, 46] or athletes’ family life or marital status have been recently analysed [43, 46], with recognition motives being greater in athletes without children, and results linked to being in a relationship, affiliation and personal goal achievement. Amateur years’ running experience has also been associated with runners’ motivation [30, 40, 53, 54], since it is a variable that might influence it. In the same way, reasons for participating in different running events according to running distance have also been researched [28,29,30,31,32,33], because the motivation behind running 5 k is not necessarily the same as for running longer distances [55] such as half, full or ultramarathons.

Despite the different variables that have been used to understand amateur athletes’ reasons for participating in different running events, there has been little research into trying to identify amateur athletes’ motivation in other age ranges [56], although there may be differences due to different life stages of the participant. Even though we can find research related to master athletes’ motivation in different international sports competitions [57, 58], there is a lack of research regarding recreational older adult runners. Ogles et al. [38] compared older vs. younger adult male runners` participative motives twenty years ago, in a different social context, although in that case, female athletes over 50 years old were basically inexistent non-existent, for example. However, the number of older adult athletes is increasing across western countries [59], and despite the fact that physical activity can have a positive influence on older adults aged 50 years and older, and their health [16], their reasons for participating in these different running events remain unclear. This lack of information does not allow event organizers, personal trainers or coaches to promote the participation of this growing population.

Therefore, since older adults’ reasons for running have not been yet suitably addressed, the aim of our study was to examine amateur older adult runners’ reasons for participation, together with the association of variables such as athletes’ gender, age, number of children, family life, participation in different running events, and their years’ running experience with older adult runners’ motivation behind running.


Participants and study design

244 individuals in total participated in this descriptive, quantitative, cross-sectional study. Regarding personal characteristics, 108 were women and 136 men, while of the total, 182 were between 50 and 60 years old, and 62 were over 60 years old, so all participants were of age. The questionnaire was sent to runners’ clubs and seniors’ clubs from the Greater Poland region. Organized running clubs exist only in Poznan—the capital of the Greater Poland region. All the questionnaires were delivered to the respondents via the clubs (Additional file 1) (Table 1).

Table 1 Number of participants according to family context, type of participation and years of running experience


Following previous research on athletes’ motivation [36, 43, 46], participants were asked about the following sociodemographic variables such as, gender (male, female), age (50–60, > 60) family life (Singel/divorced/Widowed, partner/marriage) and whether they had children (no, yes).

Moreover, athletes were asked about their years’ running experience (less than 1 year, between 1–5 years, 6–10 years, more than 10 years) and the type of running events in which they take part (running recreationally or less than half marathon), half marathon, marathon, ultramarathon).

An adapted version of The motivation of marathoners scales (MOMS) was used [34]. This survey was translated into the Polish language and adapted by Dybała [60], and retained the structure of the original scale, with 9 dimensions, all of them divided into four main motivational groups: Psychological motives (meaning of life, self-esteem), achievement motives (competition, personal goal achievement), social motives (affiliation, recognition) and physical health-related motives (general health orientation, weight concern). The questionnaire included 56 items, with a 7-point Likert scale, with the highest scores or reasons for participating being 7 (7 = most important reason) and the lowest scores 1 (1 = not a reason). The original MOMS questionnaire was published in the Research Quarterly for Exercise and Sport in 1993 by Masters et al. [34], and its Polish version was officially released and published in 2013 by Dybała [60].

The instrument had a good model fit (X2/df = 2.1; CFI = 0.820; RMSEA 0.069; AIC: 2811.00), considering the complexity of the model and the quantity of items, aspects that significantly penalty the model fit [61]


Runners were asked via an online survey package [62, 63], being asked initially about some sociodemographic questions and followed by the 56 items from the MOMS. The questionnaire was sent to running clubs and senior clubs from the Greater Poland region, with the different clubs being suitably informed about this study beforehand. The Google Docs questionnaire survey was open for one month, from October 15, 2020 to November 15, 2020. The study was in accordance with the Helsinki declaration of 1975, and participants were treated ethically according to the American Psychological Association ethics code [64]. The study does not require formal ethical approval, because in accordance with the rules in force in Poland, the Bioethics Committee does not submit applications for surveys consisting in the use of standardized surveys, used in accordance with their intended purpose, when the research will develop statistically selected elements of the survey [65]. Our questionnaire did not require the completion of a separate participant information sheet or consent form but clearly indicated in the headline that all questionnaire takers give informed consent to the study. Respondents were informed about the course and character of the survey. The survey was anonymous, voluntary and confidential, which was enough, since in Poland, anonymous diagnostic surveys do not require approval by a bioethics committee [46].

Data analysis

After collecting all the information and creating a database in Excel, this information was then exported to SPSS Statistics 23. At first, homogeneity through Levene’s test and normality through skewness and kurtosis was tested. In all cases, Levene’s test, for each dimension of MOMS scale was statistically non-significant, assuming homogeneity of variances. With regard to normality, the dimensions of MOMS’ skewness and kurtosis ranged from − 2 to + 2, considering acceptable values for assuming the normality of the sample [66] and accepting the usage of parametric tests.

The main analyses began with the means, standard deviations, correlations through Pearson's r statistic and reliability indices were studied for all the dimensions using Cronbach's alpha statistic. After t-tests were performed (power, p values and cohen's d were calculated); then a series of ANOVAs were performed (power, p values, Tukey post-hoc tests, and cohen's d were calculated); and finally in order to ascertain the influence of personal, contextual, family and sports variables on the main dimensions of the MOMS instrument, a series of regression analyses were carried out (indicating the coefficients of determination R2; power; unstandardized beta values and p values), with all these variables being understood as independent variables, and the different dimensions of the MOMS instrument as dependent variables.


Older adults’ motivation to run

Table 2 shows the mean scores and standard deviation of the nine dimensions of the MOMS and the correlation among those motivational dimensions. The greatest motivation behind running in older adult amateur runners are connected to physical health dimensions; general health orientation (M = 4.84, SD ± 0.612) and weight concern (M = 4.74, SD ± 0.924), and to psychological motives such as self-esteem (M = 4.80, SD ± 0.631) and psychological coping (M = 4.64, SD ± 0.596), while the lowest scores regarding reasons for participating are related to social motives such as affiliation (M = 4.00, SD ± 1.16) and achievement motives such as competition (M = 4.14, SD ± 0.1.32).

Table 2 Mean scores, standard deviation, and correlations of the nine dimensions of the MOMS

Years of running experience and type of participation

Table 3 shows that older adult athletes’ years’ running experience is statistically significant in the nine dimensions of the MOMS (p < 0.05). Likewise, participation in different running events shows statistical differences in the nine dimensions on the scale (p < 0.01).

Table 3 Group differences

Older adults’ motivation to run according to their age and gender

Age differences among older adult athletes show statistical differences in six out of the nine dimensions of the MOMS (Table 4): self-esteem (p < 0.01), personal goal achievement, (p < 0.05), competition (p < 0.01), recognition (p < 0.01), affiliation (p < 0.01), weight concern (p < 0.01).

Table 4 Group differences

Having children or not shows statistical differences in competition motives (p < 0.01) and recognition motives (p < 0.01) in terms of participation in different running events. Table 4, shows statistical differences in five out of nine motivational dimensions of the MOMS according to the gender, personal goal achievement with higher values for men (4.77), and weight concern motives showing higher values for women (4.99) (p < 0.01), self-esteem, recognition and affiliation motives showed higher values for women, making it more likely that they will take part in running events (p < 0.05). Conversely, marital status or being in a relationship or not does not show any statistical difference regarding the reasons for participating in older adult athletes.

Sociodemographic variables that predict MOMS dimensions

In order to process with the regression analyses their assumptions were studied: As previously mentioned, normality and homoscedasticity assumptions were ensured in the sample distribution; as well as non-multicollineality, due to low VIF values (< 10), and independence of errors, due to Durbin–Watson values between 1.5 and 2.5 [67]. In addition, linearity was ensured by testing all the different partial regression plots.

Table 5 shows how years’ running experience is a major predictor of older adult motivation behind running, showing statistical significance in all the dimensions except weight concern. This variable positively predicts older adult athletes’ motivation related to self-esteem (β = 0.196; p = 0.000), psychological coping (β = 0.230; p = 0.000), meaning of life (β = 0.212; p = 0.000), personal goal achievement (β = 0.296; p = 0.000), competition (β = 0.414; p = 0.000), showing recognition (β = 0.335; p = 0.000), affiliation (β = 0.495; p = 0.000) and general health orientation (β = 0.231; p = 0.000).

Table 5 Stepwise regression analyses to predict older adult motives according to demographical variables

Participation in different types of running event enters the equation and predicts all the motivational dimensions except psychological coping and general health orientation. This variable positively predicts older adult athletes’ motivation related to self-esteem (β = 0.216; p = 0.000), meaning of life (β = 0.128; p = 0.000), personal goal achievement (β = 0.388; p = 0.000), competition (β = 0.652; p = 0.000), showing recognition (β = 0.494; p = 0.000) and affiliation (β = 0.534; p = 0.000), while this variable negatively predicts weight concern (β =  − 0.51; p = 0.000).

Table 5 shows that having children or not negatively predicts older adults’ motivation related to personal goal achievement (β =  − 0.257; p =  − 0.106), competition (β =  − 0.554; p = 0.000), recognition (β =  − 0.449; p = 0.000) and affiliation (β =  − 0.383; p =  − 0.121). Lastly, age negatively predicts competition reasons for running (β =  − 0.354; p = 0.000).


The reasons why amateur athletes run can be very heterogeneous, and this is why previous research has tried to describe these types of motivation. Although most of the research focused on adult athletes, amateur athletes’ motivation have not been suitably addressed in another age ranges [56]. Within this context, the aim of this study was to analyse and study more in depth the motivation behind participating on the part of older adult athletes, more and more of whom have been taking part in different running events over the last decade.

Older adults’ motivation to run

Our findings suggest that the greatest motivation behind running among older adult athletes were physical health-oriented dimensions, namely, weight concern and general health orientation (M = 4.84, SD ± 0.612). Partially in line with our results, previous research showed that general health-oriented reasons for participating were the main reasons why adult athletes take part in different running events [29, 30, 37, 39, 40]. However, as observed in the results of the present study, older adults obtained higher scores in weight concern motives (M = 4.74, SD ± 0.924) than in any scores we were able to find in previous research [29, 37]. Moreover, our results show that personal goal achievement motives was the fifth most common reason why older adults participate, while previous research shows, that this dimension obtained the highest or the second highest score among adult runners [30, 37, 39, 40]. Older adult runners scored highly in psychological motives, and especially self-esteem (M = 4.80, SD ± 0.631), which is in line with some of the previous research carried out in the Spanish context [29] and in the Polish context [40]. On the other hand, our results showed that social motives were the least demanded by older athletes, e.g. affiliation (M = 4.00, SD ± 1.16), with these results being similar to previous research in children and adolescents [56], and to the results obtained in the original research by Master and Ogles [39]. Lastly, our results showed that recognition motives of older adult runners (M = 4.24, SD ± 1.09), are higher than in previous research, since in particular scored the lowest in adult athletes [29, 37, 40].

Years of running experience and type of participation

As observed in the results of the present study, older athletes’ years’ running experience shows statistical differences in all the nine dimensions of the MOMS (p < 0.001), i.e., depending on these athletes’ running experience, the reasons why these athletes run are statistically different. These results are partially in line with Master et al. [54], who showed that veteran runners were more likely motivated by social identity, mid experienced athletes by performance aspects and rookie marathon runners were more health and weight concern orientated. However, results obtained in this research show the opposite of those obtained by Malchrowicz-Mośko et al. [53] in recent research, in that they did not find any statistical differences in any of the MOMS dimensions regarding years’ running experience in marathon runners in the Polish context. Our findings with regards to older adult runners’ motivation, according to different running distances, showed statistical differences in the nine MOMS motivation dimensions (p < 0.001), thus showing, that older adult athletes’ motivation varies depending on the distance they run. Along these lines, Hanson et al. [28], who compared motivation behind running on the part of half marathoners, full marathoners and ultramarathoners, found that ultra-marathoners scored lower on health orientation and weight concern and higher on meaning of life, while full marathoners scored higher on personal goal achievement, which is partially in line with our research.

Older adults’ motivation to run according to their age and gender

The findings with regards to older adults’ motivation behind participating in terms of age and gender show the importance of these two variables, evidencing statistical significance in six of the nine motivational dimensions in the first one, and with gender showing statistical differences in five of the dimensions. Our results suggested that self-esteem (p < 0.05), recognition (p < 0.05), and affiliation (p < 0.05) reasons for participating showed significant differences in terms of age and gender. Likewise, personal goal achievement (p < 0.001), showed that motivation scores were higher for men between 50–60 years old, while and weight concern (p < 0.001) for elder women over 60 years old. Therefore, these results lead us to consider that these two variables may be linked to such motivational reasons on the part of older adult athletes. At the same time, competition motives (p < 0.001) showed differences in terms of age, being the eldest runners less competitive, while regarding gender, these differences were not found. In line with these results, in previous research with marathoners, gender showed statistical differences with regard to personal goal achievement and self-esteem [36, 37], while age-related results in our research show that six motivational dimensions are deemed to be of importance in older adults, which is partially in line with recent studies [36], in which health orientation, affiliation and self-esteem motivation-related reasons showed statistical significance. In the classic research by Ogles and Masters [38], in line with our findings, older athletes of over 50 years of age reported being more motivated by weight concern, and significant differences were found in personal goal achievement, thus supporting the results obtained in our study. These authors also found differences in affiliation motives, meaning of life and general health orientation motives, with these last two dimensions not being in line with our research. At the same time, it is noteworthy in our results that age-related motivation differences scored more highly in favour of younger athletes, and so, as age increases, the level of motivation in terms of the different significant dimensions increases in all cases, except in weight concern, which is a motivational aspect that becomes more important in older athletes over 60 years old. As far as gender is concerned, our findings suggest that there is a tendency in favour of men in all significant dimensions (p < 0.05), except in weight concern (p < 0.001), to gain a higher score than women in motivational aspects. The results obtained regarded regarding family context, a field that has not been suitably addressed yet [68], show that family life and marital status do not influence motivation behind older adult runners, i.e., being in a relationship or not does not change when it comes to motivation behind running, with these results being in line with recent research [36, 43] insofar as no differences were found according to family life among marathon and ultramarathon runners. On the other hand, and within the family context, having children or not showed statistical differences in competition (p < 0.05) and recognition (p < 0.05) reasons why older adult runners participate, with higher scores in favour of those who had no children. Partially in line with these results, Malchrowicz-Mośko and Waśkiewicz [43] did not find any difference between adult ultramarathoners who had children and those who did not, even though a level of statistical tendency was found in competition in favour of those runners who had no children, partially in line with our research. The same author, in recent research related to park runs and city trails, found that recognition motives were significant in favour of runners who had no children [46], a correlation that was also found in our results, in which older adult runners with no children were considered more motivated with regard to recognition aspects. The results obtained from the regression analyses showed that there are three main independent variables that significantly predicted motivation behind running, these being the degree of participation in running events and the amount of years spent running, which predicted the vast majority of dimensions positively, and having children, which predicted motivation behind running less frequently and negatively.

Limitations and prospective

The study has some limitations, such as the number of participants and contextual aspects, and so caution would be needed when generalizing about these results, since more data and its collection in other countries could lead to a different result. Likewise, the cross-sectional study design was another limitation, since it does not allow causal relationships to be established between the study variables. Despite these limitations, very few studies have focused on amateur older adult athletes, which is at the same time a strong point of the study and its special feature, since older adult amateur athletes’ motivation behind running has not been suitably addressed yet in literature. In line with Malchrowicz-Mośko and Waśkiewicz [43], who found differences between single runners over 35 and under 35 years old, with affiliation being significantly greater in older runners, it would be interesting to analyse whether age differences are of importance among single athletes, and among runners in a relationship.


Based on the arithmetic means of the different dimensions of the MOMS, it has been observed that older runners tend to obtain higher scores in terms of physical health and psychological aspects, while achievement and social motives are less significant in older athletes over 60 years old. At the same time, we confirmed that age and gender are to a great extent significant when it comes to reasons why older adult runners take part. Moreover, weight concern-related motivation marks a clear line in relation to age and gender, showing higher motivation by older women. For their part, years’ running experience and participation seem to be important aspects to be considered within this population, while family life and having children or not would seem to be of less importance. In summary, this study provides important information regarding motivational aspects of older adult runners, and this knowledge would be of a great interest to running event organisers and personal trainers or coaches, in order to enhance older adult runner’s motivation behind running.

Availability of data and materials

All the data that support the results can be found in the manuscript and the additional file.



Motivation of marathoners scale


  1. Hammer C, Podlog L. Motivation and marathon running. In: Zinner C, Sperlich B, editors. Marathon running: physiology, psychology, nutrition and training aspects. Cham: Springer; 2016. p. 107–24.

    Chapter  Google Scholar 

  2. Scheerder J, Breedveld K, Borgers J, editors. Running across Europe: the rise and size of one of the largest sport markets. London: Palgrave Macmillan; 2015.

    Book  Google Scholar 

  3. Alberdi AM, Arrizabalaga IG, Martins JJG. Incidencia de la carrera Behobia-San Sebastian en el fomento de estilo de vida saludable. Apunt Educ Fis y Deport. 2018;31:34–48.

    Article  Google Scholar 

  4. Kozlovskaia M, Vlahovich N, Rathbone E, Manzanero S, Keogh J, Hughes DC. A profile of health, lifestyle and training habits of 4720 Australian recreational runners—the case for promoting running for health benefits. Health Promot J Austr. 2019;30(2):172–9.

    Article  PubMed  Google Scholar 

  5. Tapia-Serrano MA, León-Guereño P, Sánchez-Miguel PA. Relationship between motivational mechanisms, expected sports performance and perceived health status in long-distance runners: a mediation model. S Afr J Res Sport Phys Educ Recreat. 2020;42(2):121–32.

    Google Scholar 

  6. Mielgo-Ayuso J, Calleja-González J, Refoyo I, León-Guereño P, Cordova A, Del Coso J. Exercise-induced muscle damage and cardiac stress during a marathon could be associated with dietary intake during the week before the race. Nutrients. 2020;12(2):316.

    Article  CAS  PubMed Central  Google Scholar 

  7. Boudreau AL, Giorgi B. The experience of self-discovery and mental change in female novice athletes in connection to marathon running. J Phenomen Psychol. 2010;41(2):234–67.

    Article  Google Scholar 

  8. Larumbe E, Pérez-Llantada MC, López De la Llave A. Características del estado psicológico de los corredores populares de maratón. Rev Psicol Deporte. 2009;18(2):151–63.

    Google Scholar 

  9. Raglin JS. The psychology of the marathoner. Sports Med. 2007;4–5(37):404–7.

    Article  Google Scholar 

  10. Summers JJ, Machine VJ, Sargent GI. Psychosocial factors related to marathon running. J Sport Psychol. 1983;5:314–31.

    Article  Google Scholar 

  11. de Paula VJ, Amorim FT, Alves MNM, Passos RLF, Meyer F. Run performance of middle-aged and young adult runners in the heat. Int J Sports Med. 2012;33(3):211–7.

    Article  Google Scholar 

  12. Nikolaidis PT, Rosemann T, Knechtle B. A brief review of personality in marathon runners: the role of sex, age and performance level. Sports. 2018;6(3):99.

    Article  PubMed Central  Google Scholar 

  13. Nikolaidis PT, Rosemann T, Knechtle B. Sex differences in the age of peak marathon race time. Chin J Physiol. 2018;61:85–91.

    Article  PubMed  Google Scholar 

  14. Ruiz Juan F, Zarauz SA. Predictor variables of motivation on Spanish master athletes. J Hum Sport Exerc. 2012;7(3):617–28.

    Article  Google Scholar 

  15. Spiteri K, Broom D, Bekhet AH, de Caro JX, Laventure B, Grafton K. Barriers and motivators of physical activity participation in middle-aged and older adults—a systematic review. J Aging Phys Activ. 2019;27(6):929–44.

    Article  Google Scholar 

  16. Jenkin CR, Eime RM, Westerbeek H, O’Sullivan G, Van Uffelen JG. Sport and ageing: a systematic review of the determinants and trends of participation in sport for older adults. BMC Publ Health. 2017;17(1):1–20.

    Article  Google Scholar 

  17. Nikolaidis PT, Knechtle B, Quartiroli A. Who runs? Psychological, physiological and pathophysiological aspects of recreational endurance athletes. Front Psychol. 2020;11:2247.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Croft SJ, Gray CC, Duncan JF. Motives for participating in triathlon: an investigation between elite and non-elite competitors in an Australian setting. Health. 1999.

  19. Fernandez-Lopez I, Merino-Marban R, Fernandez-Rodriguez E. Examining the relationship between sex and motivation in triathletes. Percept Mot Skills. 2014;119:42–9.

    Article  Google Scholar 

  20. Lovett M, Barnes J, Marley S. An examination of the motives to participate in sprint-distance triathlon. J Sport Behav. 2018;41(4):424–50.

    Google Scholar 

  21. Kruger M, Myburgh E, Saayman M. A motivation-based typology of triathletes. S Afr J Res Sport Phys Educ Recreat. 2014;36:117–34.

    Google Scholar 

  22. Wicker P, Hallmann K, Prinz J, Weimar D. Who takes part in triathlon events? A application of lifestyle segmentation to triathlon participants. Int J Sport Manag Mark. 2012;12:1–24.

    Article  Google Scholar 

  23. Malchrowicz-Mośko E, Młodzik M, Banio A, Omorczyk A. Triathlon as a form of sports consumption: motives for participation. Tourism. 2018;28(2):41–8.

    Article  Google Scholar 

  24. Heesch KC, Sahlqvist S, Garrard J. Gender differences in recreational and transport cycling: a cross-sectional mixed-methods comparison of cycling patterns, motivators, and constraints. Int J Behav Nutr Phys Act. 2012;8:106.

    Article  Google Scholar 

  25. Malchrowicz-Mośko E, Młodzik M, León-Guereño P, Adamczewska K. Male and female motivations for participating in a mass cycling race for amateurs. The Skoda bike challenge case study. Sustainability. 2019;11(23):6635.

    Article  Google Scholar 

  26. LaChausse RG. Motives of competitive and non-competitive cyclists. J Sport Behav. 2006;29(4):304–14.

    Google Scholar 

  27. Willem A, De Rycke J, Theeboom M. The role of autonomous and controlled motivation in exercise intentions of participants in a mass cycling event. Front Psychol. 2017;8:354.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Hanson N, Madaras L, Dicke J, Buckworth J. Motivational differences between half, full and ultramarathoners. J Sport Behav. 2015;38(2):180–91.

    Google Scholar 

  29. Ruiz-Juan F, Zarauz SA. Analysis of motivation amongst Spanish marathon runners. Rev Latinoam Psicol. 2014;46:1–11.

    Article  Google Scholar 

  30. Waśkiewicz Z, Nikolaidis PT, Chalabaev A, Rosemann T, Knechtle B. Motivation in ultra-marathon runners. Psychol Res Behav Manag. 2018;12:31–7.

    Article  PubMed  PubMed Central  Google Scholar 

  31. León-Guereño P, Tapia-Serrano MA, Sánchez-Miguel PA. The relationship of recreational runners’ motivation and resilience levels to the incidence of injury: a mediation model. PLoS ONE. 2020;15(5): e0231628.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Masters KS, Ogles BM. The relations of cognitive strategies with injury, motivation, and performance among marathon runners: results from two studies. J Appl Sport Psychol. 1998;10(2):281–96.

    Article  Google Scholar 

  33. Whitehead AE, Umeh K, Brockett C, et al. Motivational differences between 5K, half marathon and full marathon participants in the UK and India. Manag Sport Leis. 2020.

    Article  Google Scholar 

  34. Masters KS, Ogles BM, Jolton JA. The development of an instrument to measure motivation for marathon running: the motivations of marathoners scales (MOMS). Res Q Exerc Sport. 1993;64(2):134–43.

    Article  CAS  Google Scholar 

  35. Havenar J, Lochbaum M. Differences in participation motives of first-time marathon finishers and pre-race dropouts. J Sport Behav. 2007;30(3):270–9.

    Google Scholar 

  36. León-Guereño P, Tapia-Serrano MA, Castañeda-Barbarro A, Malchrowicz-Mośko E. Do sex, age, and marital status influence the motivations of amateur marathon runners? The Poznan marathon case study. Front Psychol. 2020;11:2151.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Nikolaidis PT, Chalabaev A, Rosemann T, Knechtle B. Motivation in the Athens classic marathon: the role of sex, age, and performance level in Greek recreational marathon runners. Int J Environ Res Public Health. 2019;16(14):2549.

    Article  PubMed Central  Google Scholar 

  38. Ogles BM, Masters KS. Older vs. younger adult male marathon runners: participative motives and training habits. J Sport Behav. 2000;23(2):130–43.

    Google Scholar 

  39. Ogles BM, Masters KS. A typology of marathon runners based on cluster analysis on motivations. J Sport Behav. 2003;26(1):69–85.

    Google Scholar 

  40. Waśkiewicz Z, Nikolaidis PT, Gerasimuk D, Borysiuk Z, Rosemann T, Knechtle B. What motivates successful marathon runners? The role of sex, age, education, and training experience in polish runners. Front Psychol. 2019;10:1671.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Doppelmayr M, Molkenthin A. Motivation of participants in adventure ultramarathons compared to other footraces. Biol Sport. 2004;24:319–23.

    Google Scholar 

  42. Frick B. Gender differences in competitive orientations: empirical evidence from ultramarathon running. J Sport Econom. 2011;12(3):317–40.

    Article  Google Scholar 

  43. Malchrowicz-Mośko E, Waśkiewicz Z. The impact of family life and marital status on the motivations of ultramarathoners: the karkonosze winter ultramarathon case study. Int J Environ Res Public Health. 2020;17(18):6596.

    Article  PubMed Central  Google Scholar 

  44. Malchrowicz-Mośko E, Villarreal J, Chlebosz K, Glapa A. Motivation for running in a half-marathon among university students. Trends Sport Sci. 2018;25(1):35–41.

    Article  Google Scholar 

  45. Malchrowicz-Mośko E, Rozmiarek M. Why women run? Motivations for running in a half-marathon among female local runners and sport tourists. Olimpianos J Olympic Stud. 2018;2(3):475–488.

  46. Malchrowicz-Mośko E, León-Guereño P, Tapia-Serrano MA, Sánchez-Miguel PA, Waśkiewicz Z. What encourages physically inactive people to start running? An analysis of motivations to participate in Parkrun and City trail in Poland. Front Public Health. 2020;8:717.

    Article  Google Scholar 

  47. Parra-Camacho D, González-Serrano MH, González-García RJ, Calabuig MF. Sporting habits of urban runners: classification according to their motivation. Int J Environ Res Public Health. 2019;16(24):4990.

    Article  PubMed Central  Google Scholar 

  48. Maureira F. Reasons of Chilean urban runners for participating in endurance running competitions. Cuad Psicol Deporte. 2014;14:145–50.

    Article  Google Scholar 

  49. Malchrowicz-Mośko E, Poczta J. Motivations for running in men: a comparative analysis of local runners and sports tourists. Tourism. 2019;29(2):69–79.

    Article  Google Scholar 

  50. Manzano-Sánchez D, Postigo-Pérez L, Gómez-López M, Valero-Valenzuela A. Study of the motivation of Spanish amateur runners based on training patterns and gender. Int J Environ Res Public Health. 2020;17(21):8185.

    Article  PubMed Central  Google Scholar 

  51. Ogles BM, Masters KS. Obligatory running and gender: an analysis of participative motives and training habits. Int J Sport Psychol. 1995;26:233–48.

    Google Scholar 

  52. Poczta J, Malchrowicz-Mośko E, Braga de Melo Fadrigas A. Age-related motives in mass running events participation. Olimpianos J Olympic Studies. 2018;2(1):257–273.

  53. Malchrowicz-Mośko E, Gravelle F, Dąbrowska A, León-Guereño P. Do years of running experience influence the motivations of amateur marathon athletes? Int J Environ Res Public Health. 2020;17(2):585.

    Article  PubMed Central  Google Scholar 

  54. Masters KS, Ogles BM. An investigation of the different motivations of marathon runners with varying degrees of experience. J Sport Behav. 1995;18(1):69–79.

    Google Scholar 

  55. Bell N, Stephenson AL. Variation in motivations by running ability: using the theory of reasoned action to predict attitudes about running 5K races. J Pol Res Tour Leis Ev. 2014;6(3):231–47.

    Article  Google Scholar 

  56. Malchrowicz-Mośko E, Castañeda-Babarro A, León GP. On the way to the Marathon—motivation for participating in mass running events among children and adolescents: results of the Poznan half marathon pilot study. Int J Environ Res Public Health. 2020;17(14):5098.

    Article  PubMed Central  Google Scholar 

  57. Adams K, DeBeliso M, Walsh J, et al. Why do people participate in the World Masters Games? J Sci Med Sport. 2011;14: e82.

    Article  Google Scholar 

  58. Heazlewood T, Walsh J, Climstein M, Adams K, Sevrene T, DeBeliso M. Participant Motivation Predicting Training Sessions and Training Type in Male and Female Athletes Competing at 2010 Pan Pacific Masters Games. Singapore Conference of Applied Psychology; 2016; Singapore: Springer; 2016.

  59. Malchrowicz-Mośko E, Frias Amato J, Veloso RC. Breaking the waves and stereotypes: female surfing as not only sport but social movement and insult to cultures. Olimpianos J Olympic Stud. 2020;4:164–73.

    Article  Google Scholar 

  60. Dybała M. Polska adaptacja Kwestionariusza Motywów Biegaczy do Biegania [The Polish adaptation of the Motives of Runners for Running Questionnaire]. Rozpr Nauk Akad Wych Fiz Wroc. 2013;40:118–28.

    Google Scholar 

  61. Kenny, D. Measuring model fit. David Kenny. 2020.

  62. Moreno MP, Rodríguez OG, Gabilondo JA, Galarraga SA. Factorial invariance evaluation between the paper/pencil and online versions of profile of mood state (poms) in a sample of athletes. Rev Mex Psicol. 2015;32(1):48–56.

    Google Scholar 

  63. Šmigelskas K, Lukoševičiūtė J, Vaičiūnas T, et al. Measurement of health and social behaviors in schoolchildren: randomized study comparing paper versus electronic mode. Slov J Public Heal. 2019;58:1–10.

    Article  Google Scholar 

  64. Association AP. Publication Manual of the American Psychological Association. 2009.

  65. Bioethics Committee at the Poznan University of Medical Sciences; Un-sponsored research, 2021. Accessed 26 May 2021.

  66. George D, Mallery M. SPSS for Windows step by step: a simple guide and reference, 17.0 update (10a ed.) Pearson; 2010.

  67. Baños R, Torrado M, Reguant M. Análisis de regresión lineal múltiple con SPSS: un ejemplo práctico. REIRE. 2019;12(2):1–10.

    Google Scholar 

  68. Goodsell TL, Harris BD, Bailey BW. Family status and motivations to run: a qualitative study of marathon runners. Leis Sci. 2013;35:337–52.

    Article  Google Scholar 

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Authors and Affiliations



Study concept and design, EMM; analysis and interpretation of data, HGD, EBE; drafting of the manuscript, PLG; acquisition, MR; critical revision of the manuscript for important intellectual content, PLG, HGD, EBE, MR, EMM; english editing, PLG. All authors provided comments and approved the final manuscript. All authors read and approved the final manuscript.

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Correspondence to Mateusz Rozmiarek.

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Ethics approval and consent to participate

The study was in accordance with the Helsinki declaration of 1975, and participants were treated ethically according to the American Psychological Association ethics code [64]. The study was not a medical experiment and did not require formal ethical approval, because in accordance with the rules in force in Poland, the Bioethics Committee did not submit applications for surveys consisting in the use of standardized surveys, used in accordance with their intended purpose, when the research will develop statistically selected elements of the survey [65]. Our questionnaire did not require the completion of a separate participant information sheet or consent form but clearly indicated in the headline that all questionnaire takers give informed consent to the study. Respondents were informed about the course and character of the survey. The survey was anonymous, voluntary and confidential.

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Supplementary Information

Additional file 1.

Motivation Older adult runners. This data file shows the information collected for this research, gathering this way all the variables and information that has been analysed for this investigation.

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León-Guereño, P., Galindo-Domínguez, H., Balerdi-Eizmendi, E. et al. Motivation behind running among older adult runners. BMC Sports Sci Med Rehabil 13, 138 (2021).

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