Observational studyBMC public health2018
Why are some groups physically active and others not? A contrast group analysis in leisure settings.
Observational study in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Evaluation of the utility of group-based physical activity among university students: a systematic review protocol.BMJ open · 2025Article
- Level and limitations of physical activity in patients with excess body weight or diabetes.BMJ open sport & exercise medicine · 2024Article
- Patterns of physical activity among nursing home residents before and during the Covid 19 pandemic-a systematic observation.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023Article
- BaSAlt - A mixed-methods study protocol on setting-based physical activity promotion and counseling in nursing homes.Contemporary clinical trials communications · 2021Article
- Analysis of the Structural Relationship of Sports Participation and Ego-Resilience in the Health-Promoting Behavior of Korean Adolescents during the COVID-19 Pandemic.Iranian journal of public health · 2021Article
- Reliability and Validity of a Culturally Adaptive Version of the International Physical Activity Questionnaire in Indian Subcontinent: A Cross-sectional Study.International journal of preventive medicine · 2020Article
- Make Fitness Fun: Could Novelty Be the Key Determinant for Physical Activity Adherence?Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis field study aims to investigate the determinants of physical activity of particularly active and inactive groups in their leisure environments. In order to consider the context in which physical activity occurs and to investigate whether cultural settings may influence physical activity, we conducted the study at pools in different cultural environments - Hawai'i and Germany.
methodsThis study presents the quantitative data of a systematic (covert) participant observation. We recorded the physical activity of face-to-face interacting groups and analysed categories such as group size, estimated age of the group members, and verbal communication patterns. Total observation period was eight and a half months. In total, we observed 907 groups with the groups' size varying between 2 and 8 members. For the general statistics, we accessed the significance of differences regarding the degree of physical activity dependent on the target variables. To better understand activity promoting and hindering mechanisms, special attention is given to the identification of contrasting factors that characterise groups which are very active or very inactive. For this, we conducted a classification tree analysis.
resultsGeneral statistical analysis shows that, overall, the most differentiating factor regarding physical activity was the body shape of the group members. While obese groups had the lowest average activity level, groups mainly consisting of people with an athletic body shape were the most physically active. Yet, classification tree analysis reveals that obesity itself does not necessarily determine physical inactivity levels. The identification of six contrasting clusters highlights that besides the body shape several factors interact regarding a group's physical level. Such interacting factors were for example the degree of communication within the group, the gender- and age-related composition of the group, but also the equipment that had been brought to the beach/pool. Obese people were particularly inactive when they were members of frequently communicating, age-heterogeneous groups.
conclusionsOur study shows that several social factors determine the physical activity of very active and very inactive groups. In order to promote physical activity, future health initiatives should target these factors of a person's network.
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