Multidimensional motivation for exercise: A latent profile and transition analysis

Emm-Collison, Lydia; Sebire, Simon J; Salway, Ruth; Thompson, Janice L.; Jago, Russell

doi:10.1016/j.psychsport.2019.101619

Cited by 33 publications

(30 citation statements)

References 62 publications

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“…Thereby, the power of the assessed variables as determinants of PA behavior in children and adolescents is supported and the significance of the SDT for the explanation of PA is underlined ( Bauman et al, 2012 ; Owen et al, 2014 ; Laird et al, 2016 ; Wang, 2017 ; Kalajas-Tilga et al, 2019 ). This is also in line with recent studies relating profiles of PA-related behavioral regulations with actual PA behavior in adult samples ( Lindwall et al, 2017 ; Emm-Collison et al, 2020 ). Since MVPA is considered the most important criterion variable here, this result, together with the respective BMI values, further suggests a good criterion validity of the superordinate three-cluster solution ( Sarstedt and Mooi, 2019 ).…”

Section: Discussionsupporting

confidence: 92%

“…Thus, the SOM analysis proves valuable in explaining PA behavior, as it is able to go beyond the examination of associations between variables. Rather, it enables the differentiation between distinct groups of people whose respective demands and deficits can then be answered more specifically by developing tailored interventions ( Lindwall et al, 2017 ; Emm-Collison et al, 2020 ; Gut et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…Only with a wide range of psychosocial information available, the idea that PA behavior of an individual is driven by several psychosocial determinants simultaneously could be met and tested. Although this idea had been suggested by the YPAPM ( Welk, 1999 ) and other theoretical models and assumptions ( Deci and Ryan, 2000 ; Vallerand, 2007 ; Teixeira et al, 2012 ; Vansteenkiste and Mouratidis, 2016 ), and had been supported by empirical PA-related studies ( Lindwall et al, 2017 ; Emm-Collison et al, 2020 ), the majority of studies has applied the traditional variable-based approach ( Bergman and Andersson, 2010 ) that examines relations between different PA-related determinants and PA behavior on the between-person level. Using this approach, the typically occurring coexistence and possible interactions of different psychosocial determinants within one person cannot be examined.…”

Section: Introductionmentioning

confidence: 99%

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Physical Activity-Related Profiles of Female Sixth-Graders Regarding Motivational Psychosocial Variables: A Cluster Analysis Within the CReActivity Project

et al. 2020

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Introduction Adolescents’ physical activity (PA) behavior can be driven by several psychosocial determinants at the same time. Most analyses use a variable-based approach that examines relations between PA-related determinants and PA behavior on the between-person level. Using this approach, possible coexistences of different psychosocial determinants within one person cannot be examined. Therefore, by applying a person-oriented approach, this study examined (a) which profiles regarding PA-related psychosocial variables typically occur in female sixth-graders, (b) if these profiles deliver a self-consistent picture according to theoretical assumptions, and (c) if the profiles contribute to the explanation of PA. Materials and Methods The sample comprised 475 female sixth-graders. Seventeen PA-related variables were assessed: support for autonomy, competence and relatedness in PE as well as their satisfaction in PE and leisure-time; behavioral regulation of exercise (five subscales); self-efficacy and social support from friends and family (two subscales). Moderate-to-vigorous PA was measured using accelerometers. Data were analyzed using the self-organizing maps (SOM) analysis, a cluster analysis including an unsupervised algorithm for non-linear models. Results According to the respective level of psychosocial resources, a positive, a medium and a negative cluster were identified. This superordinate cluster solution represented a self-consistent picture that was in line with theoretical assumptions. The three-cluster solution contributed to the explanation of PA behavior, with the positive cluster accumulating an average of 6 min more moderate-to-vigorous PA per day than the medium cluster and 10 min more than the negative cluster. Additionally, SOM detected a subgroup within the positive cluster that benefited from a specific combination of intrinsic and external regulations with regard to PA. Discussion The results underline the relevance of the assessed psychosocial determinants of PA behavior in female sixth-graders. The results further indicate that the different psychosocial resources within a given person do not develop independently of one another, which supports the use of a person-oriented approach. In addition, the SOM analysis identified subgroups with specific characteristics, which would have remained undetected using variable-based approaches. Thus, this approach offers the possibility to reduce data complexity without overlooking subgroups with special demands that go beyond the superordinate cluster solution.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physical Activity-Related Profiles of Female Sixth-Graders Regarding Motivational Psychosocial Variables: A Cluster Analysis Within the CReActivity Project

et al. 2020

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“…In the second step, we obtained the final latent variables and classification errors for each time point by fixing the measurement parameters, including the number of profiles, mean and variance, obtained from the final model in step one [ 44 , 45 , 51 ]. This step was repeated in the maximum sample at each time point to explore the consistency of profile membership.…”

Section: Methodsmentioning

confidence: 99%

24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

Padmapriya

Chen

Goh

et al. 2021

Int J Behav Nutr Phys Act

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Background Time spent in movement behaviours, including physical activity (PA), sedentary behaviour (SB) and sleep, across the 24-h day may have distinct health consequences. We aimed to describe 24-h movement behaviour (24 h-MB) profiles in children and how profile membership changed from age 5.5 to 8 years. Methods Children in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort were asked to wear an accelerometer (ActiGraph-GT3X+) on their wrist for seven consecutive days at ages 5.5 and 8 years to measure 24 h-MB patterns. Time spent in night sleep, inactivity (proxy for SB), light PA, moderate PA (MPA), and vigorous PA (VPA) per day were calculated using the R-package GGIR 2.0. Using latent profile analyses (n = 442) we identified 24 h-MB profiles, which were given animal names to convey key characteristics. Latent transition analyses were used to describe the profile membership transition from ages 5.5 to 8 years. Associations with sex and ethnicity were examined. Results We identified four profiles, “Rabbits” (very high-MPA/VPA, low-inactivity and average-night-sleep), “Chimpanzees” (high-MPA, low-inactivity and average-night-sleep), “Pandas” (low-PA, high-inactivity and high-night-sleep) and “Owls” (low-PA, high-inactivity and low-night-sleep), among children at both time points. At ages 5.5 and 8 years, the majority of children were classified into profiles of “Chimpanzees” (51 and 39%, respectively) and “Pandas” (24 and 37%). Half of the sample (49%), particularly “Rabbits”, remained in the same profile at ages 5.5 and 8 years: among children who changed profile the predominant transitions occurred from “Chimpanzees” (27%) and “Owls” (56%) profiles to “Pandas”. Sex, but not ethnicity, was associated with profile membership: compared to girls, boys were more likely to be in the “Rabbits” profile (adjusted OR [95% CI]: 3.6 [1.4, 9.7] and 4.5 [1.8, 10.9] at ages 5.5 and 8 years, respectively) and less likely to be in the “Pandas” profile (0.5 [0.3, 0.9] and 0.4 [0.2, 0.6]) at both ages. Conclusions With increasing age about half the children stayed in the same of four 24 h-MB profiles, while the predominant transition for the remaining children was towards lower PA, higher inactivity and longer sleep duration. These findings can aid development and implementation of public health strategies to promote better health. Study registration This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.

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“…The motivation to exercise or be physically active has been the subject of numerous investigations [ 29 , 30 , 31 , 32 , 33 ]. With regard to cycling motivations, previous studies found experience of nature, escape from everyday life, physical exercise, recreation, and fun followed by maintaining good health as the dominant motives [ 18 , 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

Health Promotion as a Motivational Factor in Alpine Cycling

Haid

Nöhammer

Albrecht

et al. 2021

IJERPH

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The present study examines motives for cycling in the alpine region and focuses on the relative importance of health promotion with respect to other motives. Furthermore, the influences of person-specific characteristics on the rank of the motives are examined, and possibilities for advertising bike tourism based on these motives and characteristics are derived. By applying a quantitative approach, a total of 175 cyclists were surveyed using questionnaires on person-specific characteristics, motives, and their relevance for alpine cycling. Data analysis revealed that health promotion is the most important motive for alpine cycling after fun and action as well as nature experience. Further health-related motives such as stress reduction are also perceived as important. The social component, on the other hand, was given the least priority. The results also showed that person-specific characteristics influence the relative importance of motives. For example, elderly persons and people with children perceive the motive of health promotion as the most important. The study shows that the health-promoting effect of alpine cycling is noticed and may be further encouraged. This study demonstrates that alpine cyclists are a heterogeneous group and that health benefits are perceived by various sub-groups therein. Therefore, any marketing for alpine cycling needs to reflect the diversity of cyclists, and approaches need to be adapted according to the respective target group.

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Multidimensional motivation for exercise: A latent profile and transition analysis

Cited by 33 publications

References 62 publications

Physical Activity-Related Profiles of Female Sixth-Graders Regarding Motivational Psychosocial Variables: A Cluster Analysis Within the CReActivity Project

Physical Activity-Related Profiles of Female Sixth-Graders Regarding Motivational Psychosocial Variables: A Cluster Analysis Within the CReActivity Project

24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

Health Promotion as a Motivational Factor in Alpine Cycling

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