Abstract

Predictors of physical activity compared to physical health as a park prescription focus: A quantitative analysis of an international sample

Nicole Odell, MS, MSc1, Thomas Astell-Burt, PhD2, Birgitta Gatersleben, PhD3 and James Hipp, PhD4
(1)North Carolina State University, Raleigh, NC, (2)University of Wollongong, Wollongong, Australia, (3)University of Surrey, Guildford, United Kingdom, (4)NC State University, Raleigh, NC

APHA 2023 Annual Meeting and Expo

Introduction and Objective: Park prescriptions are interventions that can improve a variety of health outcomes. As these interventions are being implemented globally, it is important to understand differences in characteristics of potential program participants based on preferred intervention focus. The objective of this study is to evaluate demographic and well-being predictors of physical activity (PA) and physical health (PH) interventions in park prescriptions.

Methods: Adult residents of Australia, India, Singapore, United Kingdom, and the United States were sampled in a cross-sectional study via a Qualtrics Panel convenience sample. Respondents were asked to rank their preference of park prescription focus (PH, PA, Mental Health, Emotional Health, and Social Health). Demographic (urban/rural status, gender, and age) and subjective well-being measures were collected. Mean rankings for each focus were calculated to compare preferences. Ordered logistic regression models were run on PH and PA outcomes to evaluate predictor variable effects on preferences.

Results: Respondents (N=2625) were equally represented from all countries. PH was the most preferred program focus (M=3.71, SD=1.26). The two significant predictor variables for ranking PH higher were residing in Singapore (reference: Australia) (OR=1.32, 95%CI [1.0, 1.67]) and Age55+ (OR=1.74, 95%CI[1.37, 2.22]. PA was the third most-preferred focus (M=3.20, SD=1.35). Males were more likely than females to rank PA higher (OR=1.28, 95%CI[1.1, 1.48]). Age55+ was also a significant predictor for PA (OR=1.29, 95%CI[1.07, 1.64]). Finally, higher subjective well-being scores were associated with a likelihood of preferring PA-focused programs (Good Well-being: OR=1.38, 95%CI[1.11, 1.73]) and (Excellent Well-being: OR=1.69, 95%CI[1.33, 2.17]).

Conclusions: Physical health park prescriptions may be preferred by a broad audience, and the 55+ age demographic may be a good target audience for PA and PH programs. A higher well-being score was associated with a higher likelihood of preferring a PA-focused park prescription. Further research should investigate more specific preferences and characteristics of participants for park interventions.

Diversity and culture Planning of health education strategies, interventions, and programs Program planning Public health or related research