University Students' Motives-for-Physical-Activity Profiles: Why They Practise and What They Get in Terms of Psychological Need Satisfaction

The relationship between the environment and physical activity-related motivational trajectories

The study explores motivational profiles for physical activity, using self-determination theory's full continuum of motivational regulations, and examines their stability over three months. Furthermore, it investigates whether physical environment and community characteristics are associated with transitioning between profiles, as well as the sociodemographic differences in these motivational transition pathways. Data were collected from 305 U.S. residents at three time points. The three profiles-'low in motivation' (23.5 % of the sample in wave 1), 'self-determined motivation' (41.4 %), and 'ambivalent motivation' (35.0 %)-were relatively stable. Staying in the low-in-motivation profile was negatively associated with being active in social settings, community support, perceived environmental restorativeness, and availability of physical activity opportunities. Having a higher education and income, being male, employed, married or in a partnership, and identifying as White were associated with being in a motivationally positive profile in the last wave of the study. These profiles reported higher activity and life satisfaction.

A profile approach to physical activity levels: what's intensity got to do with reasons and motives for exercise?

BACKGROUND

Despite the well-known benefits of physical activity (PA), non-communicable disease and premature mortality rates among adults continue to rise. The relationship between adults' goals and exercise-specific motivation on the type of PA intensity one engages remains unclear. The purpose of this study was to identify physical activity (PA) profiles based on frequency and intensity (i.e., levels of PA) in an adult sample. A secondary purpose was to examine how the PA profiles differ on the reasons people have for exercising and behavioral regulation.

METHODS

A Cross-sectional survey was conducted with 1,169 (46.8 ± 16.7 years) participants solicited from a hospital-affiliated wellness center, social media promotions, and a research volunteer registry. The International PA Questionnaire (IPAQ) was used to determine frequency, intensity, and time spent engaging in PA. Additionally, the Reasons to Exercise (REX-2) scale, the Behavioral Regulation in Exercise Questionnaire-3 (BREQ-3), and demographics were assessed. K-cluster analyses were performed to identify profiles based on PA levels using the IPAQ guidelines. Multivariate analysis of variance (MANOVA) was used to assess profile differences.

RESULTS

Five distinct PA clusters were derived, and defined as: a Low, Walking, Moderate Intensity, High Intensity, and Sitting cluster (p < .001). These clusters differed significantly (p < .001) from each other with respect to motivation, the reasons adults have for exercise, and PA levels.

CONCLUSION

The results from this study support the important role of psychological factors such as motivation and reasons for exercise on behavioral outcomes (i.e., physical activity). For future research investigating adults PA- related behaviors, whether it be on adults starting a new exercise program or for PA maintenance, it may be beneficial to develop programs that encourage participants to reflect on the reasons they identify as important for exercising, and how such reasons contribute to their overall PA engagement behaviors.

Relationship between Psychosocial Factors and Physical Activity among Undergraduate Students from a South African University

Psychosocial factors such as mental health, motivation, and social support are key determinants of behavior that play a significant role in physical activity participation. Limited studies have investigated the relationship between psychosocial factors and physical activity among university students in Africa. The aim of this study was to determine the relationship between psychosocial factors and physical activity participation among undergraduate university students at a historically disadvantaged university (HDU) in South Africa. This was a cross-sectional study that used convenience sampling (n = 534, majority female, 53.6% with a mean age of 20.69). The study was conducted through an online, self-administered, and hard-copy, valid questionnaire in September 2022. Data on sociodemographic information were collected. Psychosocial factors were assessed using the Depression, Anxiety, and Stress-21 Scale for mental health, the Physical Activity and Leisure Motivation Scale for motivation, and the Perceived Social Support Scale for social support. Physical activity (calculated as MET-min/week) was assessed using the international physical activity questionnaire in short form. Results revealed that almost a third (29%) of undergraduate students were physically inactive, 31.1% were minimally active, and 39.9% were in the health-enhancing category. Physical activity was positively related to stress (r = 0.11, p < 0.05) and anxiety (r = 0.10, p < 0.05). Motivational factors were positively related to psychological condition and others' expectations (r = 0.10, p < 0.05), and depression and others' expectations (r = 0.11, p < 0.05). Results from this study highlighted that psychosocial factors were related to physical activity participation among undergraduate university students. Psychosocial factors should be considered a coping mechanism when implementing health-promoting strategies.

Motivation and Basic Psychological Needs Satisfaction in Active Travel to Different Destinations: A Cluster Analysis with Adolescents Living in Germany

Active travel in adolescence contributes to improved health outcomes. Self-Determination Theory suggests that motivation and basic psychological needs influence travel behavior. Person-centered approaches can examine interrelationships of these constructs underlying travel behavior. The aim of this study was to investigate (i) which clusters can be identified in adolescents, (ii) whether clusters explain overall active travel behavior, (iii) whether clusters were associated with travel mode to various destinations or distance, and (iv) whether differences across clusters appear regarding sex/gender, age, and weight status. The sample included 517 (263 male, 254 female) adolescents from Germany, aged 11-15. Self-organizing maps analysis identified six clusters from nine input variables: intrinsic motivation, integrated regulation, identified regulation, introjected regulation, external regulation, amotivation, autonomy satisfaction, competence satisfaction, and relatedness satisfaction. The most beneficial cluster regarding active travel demonstrated highest basic psychological needs satisfaction and autonomous motivation with low controlled motivation and amotivation. The most vulnerable cluster was characterized by generally low levels of motivation except for external regulation and amotivation. Clusters were not associated with distance to school, friends/relatives, shopping facilities, or leisure facilities. The findings support the importance of high quality and high quantity of motivation for active travel in adolescents.

Culture in Physical Activity: The Contribution of Basic Psychological Needs and Goal Orientation

Numerous variables affect motivation in physical activity (PA) with culture being an understudied variable. Self-determination theory's basic psychological needs (BPN) includes a combination of autonomy, competence, and relatedness in PA; however, cultural definitions pit autonomy and relatedness against each other. Thus, this study aims to investigate the moderating role of culture on relationships between BPN, goal orientations (ego, task) for PA, and PA behavior. A survey was implemented to 168 participants (109 females, 59 males; 92 Turks, 76 Americans) investigating students' self-construal type, their basic psychological needs in exercise (BPNES), PA levels (Godin Leisure-Time Exercise Questionnaire/GLTEQ), and goal orientation types (Task and Ego Orientation in Sport Questionnaire/TEOSQ). Turks (n = 92) and Americans (n = 76) demonstrated distinct cultural differences in terms of the study variables. American students were more autonomous, task-oriented, and physically active than Turkish students. Results from the multi-group path analysis showed that there was a moderating role of culture between predictors (i.e., BPN Autonomy, BPN Relatedness, BPN Competence, Ego Orientation, and Task Orientation) and Physical Activity. Such that, the paths from predictors (i.e., BPNT Autonomy, BPNT Relatedness, BPNT Competence, Ego Orientation, and Task Orientation) to PA was not significant in Turkish cultural context. Results suggest that culturally tailored approaches to PA interventions are critical in supporting motivation for physical activity and further research is needed to explore different culturally relevant motivational drivers for PA among adults.

Exercise motives among university students - A Brazil-Portugal transnational study

BACKGROUND

Identifying the motives why people exercise is interesting for the planning of effective health promoting strategies.

OBJECTIVES

To estimate the psychometric properties of the exercise motivations inventory (EMI-2) in Brazilian and Portuguese university students, and to compare motive-related factors for exercise among students.

METHODS

One thousand Brazilian (randomly splitted into "Test sample" [n = 498] and "Validation sample" [n = 502]) and 319 Portuguese students participated in this cross-sectional study. Motives for exercise were evaluated using EMI-2. Exploratory factor analysis was performed in the test sample. Then, confirmatory factor analysis was performed in the validation and Portuguese samples. The EMI-2 scores were compared according to sex, exercise, and weight status (ANOVA, α = 5%).

RESULTS

EMI-2 factor model was explained by 5 factors and presented adequate fit (χ 2/df ≤ 3.2; CFI ≥ 0.9; TLI ≥ 0.9; RMSEA ≤ 0.07; and α ≥ 0.83). The motives for exercising were mainly related to psychological and interpersonal factors for men, health-related factors for women, and body-related factors for overweight and obese individuals. People who practice exercise had higher EMI-2 scores.

CONCLUSION

The 5-factor model is suggested for a comprehensive assessment of motives for exercise. Individual characteristics should be considered for development of tailored protocols.

Exploring the Correlation between Time Management, the Mediterranean Diet, and Physical Activity: A Comparative Study between Spanish and Romanian University Students

BACKGROUND

The investigation started from the premise that there are links between time management (TM), physical activity (PA), and the Mediterranean diet (MD). The aim of our study is to determine the correlation between the variables TM, the MD, and PA in Spanish and Romanian university students.

METHODS

The study was conducted on a group of 296 students (198 Romanian and 98 Spanish students between the ages of 23.44 ± 5.92 years, with 108 males and 188 females, where 171 were from the sports faculty and 125 were from the psychology faculty), using the Time Management Questionnaire (TMQ) to measure TM, the KIDMED test to measure MD, and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) to measure PA.

RESULTS

The obtained results show that there are significant differences, regarding MD and PA, between the Romanian and Spanish respondents, between the respondents from the sports faculty and those from the psychology faculty, and between the female and male respondents. The TM variable did not show a significant difference depending on the country, faculty, or gender. There was only a significant relationship between the MD and the other two variables (TM and PA).

CONCLUSIONS

Significant differences were observed between the variables the MD and PA, but not TM, depending on the country, gender, and faculty. There was only a significant correlation between the MD and the other two variables (TM and PA). The results provided us with relevant data for the need for a TM protocol to improve the MD adherence and PA in university students.