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Introdution: The environment and the type of co-living of older people are crucial to understanding how the nature of their context influences a healthy lifestyle. However, no studies have investigated to what extent their type of co-living may be associated with the sports and the profile practice according to their age. Objective: This study aimed to assess the association between the types of co-living and the age of the physically active elderly and the sports they practice. Hypothesis: It is thought that the age, situation, and satisfaction with the way of living in physically active older people differ according to the type of sport they practice. Methods: Cross-sectional study. We included 358 individuals aged between 61 and 93 years old (M = 69.66, SD = 4.74). Type of co-living was classified as living alone or living with others. The sports activities evaluated were: gym, dance, water activities, and yoga/pilates. Differences in the type of co-living and sports practiced were evaluated by ANOVA or Chi2. Results: Among the elderly who practice gymnastics, most of them live alone and in a tight core (p < 0.001) (Phi = 0.244). Furthermore, those who practice aquatic activities are more frequently the youngest (p < 0.001) (Phi = 0.198). Conclusion: Older people who do gymnastics have smaller living groups, those under 69 opt for gymnastics and aquatic activities, while those aged 70 and over prefer dance, yoga, and pilates.

The factors that make physically active older people feel more satisfied in adulthood have not been extensively studied. For this reason, the aim of this work has been to evaluate, among physically active older adults, whether the level of physical activity they perform and the factors that foster their quality of life can be predictors of their satisfaction with life. For this, the IPAQ, CUBRECAVI and LSI-A scales were applied to a sample of 397 people between 61 and 93 years old (M = 69.65, SD = 4.71). The results show that health (β = 0.373), functional abilities (β = 0.159) and environmental quality (β = 0.105) are predictors of satisfaction in the most active adults. In conclusion, neither physical activity (to a greater or lesser extent) nor income are predictive variables of satisfaction with life but, rather, predict some of the components that cement their quality of life (health, fending for themselves and the home environment).