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1) Gain insight into PA prescription by United States-based physical therapists treating patients 50 years and older, and 2) Explore the contextual factors that impact PA prescription. We integrated ethnographic study data, including a questionnaire, observations, and semi-structured interviews. Our nine participants with 24.7 years (SD= 11.6) of clinical experience completed frequent PA assessments, but PA prescription was inconsistent. The following themes helped explain the participants' clinical decisions: 1) treatment prioritization; 2) physical therapists' intentions of addressing PA; and 3) contextual factors that impact treatment and treatment prioritization (e.g., experience, beliefs, concerns related to PA prescription, and work environment). Most participants did not address PA among adults 50 years and older. Due to the importance of performing regular PA, it is vital for physical therapists to reflect on their PA prescription. Organizations and health service researchers need to implement strategies that address the PA prescription barriers. [ABSTRACT FROM AUTHOR]

Background: To identify the association between daytime activity with objectively monitor and subjective variables at a different time-zone of day as well as the sex differences., Methods: Participants aged 50 years and older living in the community in Taiwan were recruited. The activity was measured by wearable actigraphy devices, diaries, and self-reported questionnaires. The study used nonparametric analysis to examine the association between mean activity level and demographic and subjective measurement variables., Results: Among the 55 participants enrolled in the study, data of 34 (62 %) participants who meet the criteria that wore a wearable actigraphy device for at least 7 completed days were analyzed. There is no significant relationship between each demographics and subjective measurement variables. However, actigraphy counts are significantly related to women's exercise (Z = -2.653, p = 0.007**) and nutrition (Z = -2.367, p = 0.017*), and men's retirement status (Z = -2.132, p = 0.033*)., Conclusions: The activity in morning is highest of the day with significant correlation to evening activities. Moreover, actigraphy counts that indicating objective measure of physical activity in women is significantly related to physiological variables (regular physical activity and nutritional status), while men are predicted by social variables (retired status)., (Copyright © 2024. Published by Elsevier Inc.)