Over recent decades, wearable inertial sensors have become popular means to quantify physical activity and mobility. However, research assessing measurement accuracy and precision is required, especially before using device-based measures as outcomes in trials. The GT9X Link is a recent activity monitor available from ActiGraph, recognized as a “gold standard” and previously used as a criterion measure to assess the validity of various consumer-based activity monitors. However, the validity of the ActiGraph GT9X Link is not fully elucidated. A systematic review was undertaken to synthesize the current evidence for the criterion validity of the ActiGraph GT9X Link in measuring steps and energy expenditure. This review followed the PRISMA guidelines and eight studies were included with a combined sample size of 558 participants. We found that (1) the ActiGraph GT9X Link generally underestimates steps; (2) the validity and accuracy of the device in measuring steps seem to be influenced by gait speed, device placement, filtering process, and monitoring conditions; and (3) there is a lack of evidence regarding the accuracy of step counting in free-living conditions and regarding energy expenditure estimation. Given the limited number of included studies and their heterogeneity, the present review emphasizes the need for further validation studies of the ActiGraph GT9X Link in various populations and in both controlled and free-living settings.

Background: The “walk-along interview” (WAI) is a qualitative spatial method that consists of a researcher walking alongside a participant during the time of an interview to identify perceived neighborhood environments. The use of the WAI method increased in various disciplines, including the fields of public health and gerontology, to assess the relationship between the individual, spaces, and walking activity. However, how and in what settings the WAI method has been implemented with healthy older adults needs to be documented and synthesized. Objective: Our aim is to conduct a systematic review of published studies that have used the WAI method to identify the perceived neighborhood environment correlates of walking activity in healthy older adults, with a specific focus on the methodological aspects related to the data collection of this method. Methods: Following the PRISMA guidelines, PubMed, Web of Science, Scopus, and SocINDEX databases were systematically searched with no limitations on publication date. Results: From 99 articles identified, 31 met all inclusion criteria, totalizing 1207 participants. Description of the method through the assessment of participants and environmental characteristics and the data collection (before, during, and after WAI characteristics). Conclusions: This review provides detailed information WAI method to assess perceived neighborhood and walk activity among healthy older adults. WAI provides different sets of opportunities and challenges. Some suggestions, such as exhaustive participants’ socio-demographics, anthropometric descriptions and data collection methods, were highlighted to be essential elements when conducting WAIs. In addition, the current findings of this review could serve as a basis for researchers, students, and the professional community who wish to apply the WAI.

Background: Based on findings from a recent systematic review of the methodological aspects related to data collection for the walk-along interview (WAI) method applied to healthy older adults, complementary questions emerged, among them, what are the main outcomes of studies that have used the WAI? Objective: The aim of this systematic review is to identify the outcomes of published studies that have used the WAI method to identify correlates of the perceived neighborhood environment on walking activity in healthy older adults. Methods: In accordance with the PRISMA guidelines, a date-unrestricted search spanning four databases was performed. Of the 164 articles identified in the initial search, 31 articles published between 2012 and 2022 met the inclusion criteria. Results: The extracted outcomes were classified into two categories: (1) the relationship between the physical characteristics of the environment and walking among healthy older adults (e.g., pedestrian infrastructure, safety, access to facilities, aesthetics and environmental conditions) and (2) the facilitators and barriers to walking, based on the dimensions of the socioecological model. Conclusions: This review provides a valuable resource for researchers, students and professionals who wish to work with the WAI method, working on aging and age-friendly cities policies.

Backward walking often occurs in everyday life. It is more complex than forward walking and is associated with decreased coordination. However, it is unclear if a reduced backward walking performance is associated with impaired cognition. This could be particularly relevant as gait and cognitive deficits commonly occur in Parkinson’s disease. The objective of this systematic review was to synthesize the evidence on the association between backward walking and cognition in persons with Parkinson’s disease. The electronic databases PubMed and Web of Science were systematically searched, and the quality of eligible studies was assessed. Two studies met the inclusion criteria, but study protocols, investigated population, and outcome measures differed substantially. One study showed lower backward walking speed in patients with Parkinson’s disease with poorer attention test performances. The second study showed a weak correlation between executive cognitive functions and backward walking speed. Given the low number of studies, the heterogenous study design, and the inconsistent results, the present review highlights the need to further investigate the association between backward walking and cognition in patients with Parkinson’s disease.

We aimed to evaluate the intra-session relative and absolute reliability of obstacle-crossing parameters during overground walking in young adults, and to determine the number of trials required to ensure reliable assessment. We analysed data from 43 young male adults who were instructed to walk at a self-selected velocity on a pathway and to step over an obstacle (height = 15 cm; width = 80 cm, thickness = 2 cm) three times. Spatial–temporal gait parameters of the approaching and crossing phases (i.e., before and after the obstacle) and obstacle clearance parameters (i.e., vertical and horizontal distance between the foot and the obstacle during crossing) were computed using a three-dimensional motion analysis system. Intraclass correlation coefficients were used to compute the relative reliability, while standard error of measurement and minimal detectable change were used to assess the absolute reliability for all possible combinations between trials. Results showed that most spatial–temporal gait parameters and obstacle clearance parameters are reliable using the average of three trials. However, the mean of the second and third trials ensures the best relative and absolute reliabilities of most obstacle-crossing parameters. Further works are needed to generalize these results in more realistic conditions and in other populations.

This study aimed to systematically review and summarize the available data regarding the influence of overweight and obesity across the lifespan on obstacle crossing during walking. Four databases were systematically searched with no limitation on publication date following the Cochrane Handbook for Systematic Reviews and PRISMA guidelines. Only full-text English-language articles published in a peer-reviewed journal were eligible. They had to compare obstacle crossing during walking by overweight or obese individuals with individuals of normal body weight. Five studies were considered eligible. All the studies assessed kinematics; only one assessed kinetics, but none investigated muscle activity or obstacle contact. Compared to normal individuals crossing obstacles, overweight or obese individuals exhibited lower velocity, shorter step length, lower cadence, and less time spent in single-limb support. They also exhibited increased step width, more time spent in double support, and greater trailing leg ground force reaction and centre of mass acceleration. Overall, the small number of included studies did not allow us to draw any conclusions. However, being overweight or obese seems to have a potentially negative influence on the kinematics of gait parameters due to a tendency to trip, fall, and suffer severe fall-related injuries when negotiating obstacles on foot in real-life environments.