Factors That Influence Walking Intervention Adherence for Older Adults Living in Retirement Communities

Exploration of the Motivational Factors that Influence the Maintenance of Health

Objective

This study aims to identify motivators influencing individuals' commitment to maintaining positive health trajectories across different demographics. The primary objective is to leverage this knowledge to enhance patient-physician relationships and improve the quality of care.

Methods

A web-based survey collected data from 204 randomly selected participants aged 16 and older. The survey assessed participants' self-rated health, health-related habits, and motivators for a healthy lifestyle. Open-ended responses were included.

Results

Participants had a mean self-rated health score of 6.24 (scale: one to ten). Motivation scores for health-related factors averaged 3.25 (scale: one to five), with caregiving responsibility scoring 3.07 (scale: one to five), mainly among women. Motivators related to personal productivity and values scored 3.44 (scale: one to five), while cultural or religious beliefs scored lowest at 2.89 (scale: one to five). Common themes from free responses included longevity, quality of life, personal well-being, family, independence, prevention of complications, health goals, finances, and faith, listed by frequency. Among participants, only 30% had chronic diseases, but 80% of those with chronic conditions were motivated to improve their health.

Conclusion

This survey gathered valuable data on motivators for maintaining positive health trajectories. The findings have implications for improving patient-physician relationships and healthcare delivery. Understanding individuals' motivators can inform tailored interventions and personalized care approaches.

Predictors of the Level of Physical Activity in Physically Active Older People

There has not been much study of risk profiles in older people according to different levels of practice in physical activity. For this reason, the aim of this research was to evaluate whether the elements that influence the quality of life and factors such as gender and education can predict the level of physical activity in the physically active elderly population. The Fernández−Ballesteros quality of life questionnaire and the WHO International Physical Activity Questionnaire were applied to a sample of 397 people with a mean age of 69.65 years (SD = 4.71). The results revealed the following predictive factors of practicing a low level of physical activity (p < 0.05): being a woman; having a low educational level; and low scores in activity and leisure and in functional skills. In conclusion, gender, education, functional skills, activity and leisure, and health are elements of quality of life that predict the level of physical activity performed by the elderly, where it is necessary to use leisure activities (visiting friends, playing games, running errands) as an indirect way to increase participation in physical activity.