Assessing the Impact of Outdoor Activities on Mental Wellbe-ing; Focusing on the Walking Path in Urban Area

Background: Provided that COVID-19 pandemic has led to mental wellbeing disorders for city dwellers, and given that there is a significant association between outdoor activities and mental health, this paper investigated how the frequency of walking during the pandemic contributes to the immediate and subsequent ‘mood’. Methods: A longitudinal data collection method was adopted to verify the ‘mood’ of the participants before and after walking. The survey was conducted with 100 participants in a walking path in Shiraz, Iran, on Jan 2021. The quantitative analysis methods were performed in SPSS to examine the mental wellbeing outcomes of walking in the outdoor walking path when considering the psychological impacts of the pandemic and the quantity. Results: The result affirms the positive contribution of walking in the improvement of mental-wellbeing-mood during the pandemic; though, such a mood boost is in a direct relationship with the quantity of the activity within a week. Moreover, other factors can play a significant role, including the ‘mood before walking’, and the age of the participants. Conclusion: It is likely that encouraging people to consider walking as their routine activity can lead to several positive consequences on mental wellbeing since walking as a basic outdoor activity during the pandemic can contribute on the mood.

Outdoor walking exhibits peak ankle and knee flexion differences compared to fixed and adaptive-speed treadmills in older adults

Background Walking mechanics recorded with a traditional treadmill may not be the same as the mechanics exhibited during activities of daily living due to constrained walking speeds. Adaptive-speed treadmills allow for unconstrained walking speeds similar to outdoor walking. The aim of this study was to determine differences in kinematic walking parameters of older adults between adaptive-speed treadmill (AST), fixed-speed treadmill (FST) and outdoor walking. We hypothesized that self-selected walking speed (SSWS) during AST walking and outdoor walking would increase compared to FST walking. Furthermore, we hypothesized that AST walking and outdoor walking would increase peak knee flexion, hip flexion, and ankle plantarflexion angles compared to FST walking independent of walking speed changes. Methods Fourteen older adult participants were asked to complete 3 min of FST and AST walking on a split-belt treadmill. Participants were also asked to complete 6 min of outdoor walking following a circular route in a neighboring park. A wireless inertial measurement unit-based motion capture system was used to record lower extremity kinematics during all walking conditions. Results The outdoor walking condition produces significantly higher SSWS compared to FST (p < 0.001) and AST (p = 0.02) conditions. A significantly faster SSWS was exhibited during the AST condition compared to the FST condition (p = 0.026). Significantly higher peak ankle plantarflexion angles are exhibited during the outdoor walking condition compared to the AST (p < 0.001, g = 1.14) and FST (p < 0.001, g = 1.13) conditions after accounting for walking speed. There was a significantly lowered difference between the outdoor walking condition and both AST (p = 0.029, g = 0.49) and FST (p = 0.013, g = 0.63) conditions in peak knee flexion angles after accounting for SSWS. There are no significant differences between outdoor, AST, and FST conditions on peak hip flexion angles. Older adults exhibit changes in peak ankle plantarflexion and peak knee flexion angles during outdoor walking compared to treadmill walking but not between treadmill controller types. We found no differences in the kinematics exhibited by older adults between both AST and FST walking. Conclusions Incorporating unconstrained walking speed with the AST while maintaining similar FST sagittal plane kinematics may allow for more translatable conditional balance and walking rehabilitation.

Wearable Inertial Gait Algorithms: Impact of Wear Location and Environment in Healthy and Parkinson’s Populations

Wearable inertial measurement units (IMUs) are used in gait analysis due to their discrete wearable attachment and long data recording possibilities within indoor and outdoor environments. Previously, lower back and shin/shank-based IMU algorithms detecting initial and final contact events (ICs-FCs) were developed and validated on a limited number of healthy young adults (YA), reporting that both IMU wear locations are suitable to use during indoor and outdoor gait analysis. However, the impact of age (e.g., older adults, OA), pathology (e.g., Parkinson′s Disease, PD) and/or environment (e.g., indoor vs. outdoor) on algorithm accuracy have not been fully investigated. Here, we examined IMU gait data from 128 participants (72-YA, 20-OA, and 36-PD) to thoroughly investigate the suitability of ICs-FCs detection algorithms (1 × lower back and 1 × shin/shank-based) for quantifying temporal gait characteristics depending on IMU wear location and walking environment. The level of agreement between algorithms was investigated for different cohorts and walking environments. Although mean temporal characteristics from both algorithms were significantly correlated for all groups and environments, subtle but characteristically nuanced differences were observed between cohorts and environments. The lowest absolute agreement level was observed in PD (ICC2,1 = 0.979, 0.806, 0.730, 0.980) whereas highest in YA (ICC2,1 = 0.987, 0.936, 0.909, 0.989) for mean stride, stance, swing, and step times, respectively. Absolute agreement during treadmill walking (ICC2,1 = 0.975, 0.914, 0.684, 0.945), indoor walking (ICC2,1 = 0.987, 0.936, 0.909, 0.989) and outdoor walking (ICC2,1 = 0.998, 0.940, 0.856, 0.998) was found for mean stride, stance, swing, and step times, respectively. Findings of this study suggest that agreements between algorithms are sensitive to the target cohort and environment. Therefore, researchers/clinicians should be cautious while interpreting temporal parameters that are extracted from inertial sensors-based algorithms especially for those with a neurological condition.

Walking Psychotherapy As a Health Promotion Strategy to Improve Mental and Physical Health for Patients and Therapists: Clinical Open-Label Feasibility Trial

Background Persons with mental illness are more at risk for sedentary behaviour and associated consequences. We assessed the feasibility of outdoor walking during psychotherapy sessions in an outpatient trauma therapy program to challenge sedentary behaviour. Methods In this pilot trial in Toronto, Canada, female therapists and patients >18 years, were encouraged to walk during 12 consecutive trauma therapy sessions. Both groups were provided wearable pedometers. We assessed protocol feasibility and desirability, and 12-week changes in patient post-traumatic stress [PTSD check-list for DSM-5 (PCL-5)], and depression, anxiety, and stress symptoms [Depression, Anxiety and Stress Scale (DASS)]. Results 91% (20/22) of patients approached for the study consented to participate and 17 (85%) completed follow-up questionnaires. There was walking in 132/197 (67%) of total therapy sessions (mean 7.3 out of 10.9 sessions per participant). Inclement weather was the predominant reason for in-office sessions. At 12-week follow-up, PCL-5 mean scores decreased from 38.4 [standard deviation, ((SD) 11.8) to 30.7 (SD 14.7)], [mean difference (MD) 7.7, 95% CI: 1.5 to 13.8]; 41% (7/17) participants had a clinically significant PCL-5 score reduction of >10 points. DASS-stress mean scores decreased from 19.0 to 16.0 (MD 3.0, 95% CI: 0.3 to 5.6). No changes were observed for DASS depression (MD -0.9, 95% CI: −5.1 to 3.3) nor DASS anxiety (MD -0.2, 95% CI: −3.1 to 2.7). Daily step reporting was inconsistent and not analyzed. There was high acceptability amongst patients and therapists to walk, but not to record daily steps. There were no adverse outcomes. Conclusions It was feasible and acceptable to incorporate outdoor walking during trauma therapy sessions for patients and therapists. Weather was the greatest barrier to implementation. Further randomized-control study to compare seated and walking psychotherapy can clarify if there are psychotherapeutic and physical benefits with walking.

Intra-day variation in daily outdoor walking speed among community-dwelling older adults

Background Walking speed is an important measure associated with health outcomes in older individuals, such as dependency and death. This study aimed to examine whether the walking speed of community-dwelling older adults varies between time periods within a day, as measured outdoors in daily life. We aimed to determine the types of walking speed variations and examine the factors associated with them. Methods Daily life outdoor walking speed was measured in 92 participants (average age 71.9 years±5.64) using a GPS smartphone app for 1 month. Average walking speeds for five time periods were analyzed with a linear mixed model. Intra-day walking speed variation patterns were classified by latent class analysis. Factors associated with the class were identified by logistic regression analysis. Results A statistically significant difference in average walking speed was found between early morning (1.33 m/s), and afternoon (1.27 m/s) and evening (1.26 m/s) (p < 0.01). The intra-day variation in walking speed was attributed to variation in cadence. Two classes were identified: (1) fast walking speed with large variation and (2) slow walking speed with little variation; hypertension and frailty level were associated with the class. Conclusion The results suggest that there is intra-day variation in walking speed in daily life, wherein the speed is the fastest early in the morning and slower in the afternoon and evening. A larger variation in the walking speed was related to the health status without hypertension or frailty. These results suggest that if a person shows less intra-day variation in walking speed, this could be a sign that they are susceptible to hypertension and an increased frailty level.