CHARACTERIZATION OF FREE-LIVING STEP-BASED PHYSICAL ACTIVITY METRICS AMONG PATIENTS WITH FEMOROACETABULAR IMPINGEMENT SYNDROME

BACKGROUND: Femoroacetabular impingement syndrome (FAIS) is a hip-joint disorder characterized by abnormal bony morphology (femoral-sided, “cam”; or acetabular-sided, “pincer”). FAIS is a precursor to hip arthritis and is often associated with low physical activity (PA) due to pain. Previous studies have relied on self-report questionnaires to assess PA. Device-based measurement (e.g., accelerometry), specifically step-based metrics (e.g., steps/day and cadence indices), may offer a more comprehensive assessment of PA patterns in this population. METHODS: We recruited 25 participants with FAIS (age=31.0±9.2 years, 60% women, BMI=26.1±4.7 kg/m2) and 14 healthy controls (age=28.1±9.1 years, 64% women, BMI=26.3±3.4 kg/m2). Participants were categorized as Cam only, Combined (cam and pincer), or Healthy (controls). Participants wore a waist-mounted accelerometer (ActiGraph GT3X+, ActiGraph LLC, Pensacola, FL) for 7 days during waking hours. Step-based metrics were computed, including steps/day, peak 1- and 30-min cadence (PK1 and PK30; steps/min), and time spent in various cadence bands (1-19, 20-39, 40-59,⋯100-119 steps/min). One-way ANOVAs with post hoc testing were conducted to examine group differences. Effect sizes (eta squared; η2) were calculated and interpreted as small=0.01, medium=0.06, and large=0.14. RESULTS: We found significant group effects for PK1 and PK30 (p=0.02 and 0.05, η²=0.29 and 0.25, respectively). Post hoc tests showed lower PK1 and PK30 for Cam vs. Healthy (p=0.003 and 0.005, respectively) and Combined vs. Healthy (p=0.02 and 0.05, respectively). Similarly, there were main effects for time spent in slow, medium, and brisk cadence bands (60-79, 80-99, and 100-119 steps/min (p=0.004, 0.02, and 0.02; η²=0.27, 0.26, and 0.19, respectively). Post hoc tests indicated differences in time spent in these cadence bands for Cam vs. Healthy (p=0.007, 0.03, and 0.02, respectively), while Combined differed significantly from Healthy only for the slow and medium cadence bands (p=0.01 and 0.03, respectively). There was no main effect for steps/day between groups (p=0.06, η²=0.1). CONCLUSION: Although there was no main effect of group for steps/day, several cadence-based metrics were lower among the FAIS groups, particularly for Cam vs Healthy. Future studies are encouraged to examine step-based metrics in individuals with FAIS, as they appear to capture real-world differences in walking behaviors

Status and Trends of Physical Activity Surveillance, Policy, and Research in 164 Countries: Findings From the Global Observatory for Physical Activity—GoPA! 2015 and 2020 Surveys

Background: Physical activity (PA) surveillance, policy, and research efforts need to be periodically appraised to gain insight into national and global capacities for PA promotion. The aim of this paper was to assess the status and trends in PA surveillance, policy, and research in 164 countries. Methods: We used data from the Global Observatory for Physical Activity (GoPA!) 2015 and 2020 surveys. Comprehensive searches were performed for each country to determine the level of development of their PA surveillance, policy, and research, and the findings were verified by the GoPA! Country Contacts. Trends were analyzed based on the data available for both survey years. Results: The global 5-year progress in all 3 indicators was modest, with most countries either improving or staying at the same level. PA surveillance, policy, and research improved or remained at a high level in 48.1%, 40.6%, and 42.1% of the countries, respectively. PA surveillance, policy, and research scores decreased or remained at a low level in 8.3%, 15.8%, and 28.6% of the countries, respectively. The highest capacity for PA promotion was found in Europe, the lowest in Africa and low- and lower-middle-income countries. Although a large percentage of the world’s population benefit from at least some PA policy, surveillance, and research efforts in their countries, 49.6 million people are without PA surveillance, 629.4 million people are without PA policy, and 108.7 million live in countries without any PA research output. A total of 6.3 billion people or 88.2% of the world’s population live in countries where PA promotion capacity should be significantly improved. Conclusion: Despite PA is essential for health, there are large inequalities between countries and world regions in their capacity to promote PA. Coordinated efforts are needed to reduce the inequalities and improve the global capacity for PA promotion.</jats:p