ABSTRACT
BACKGROUND: Out-of-home mobility, defined as active and passive movement through external environments, is a resource for autonomy, quality of life, and self-realization in older age. Various factors influence out-of-home mobility, primarily studied in urban settings. The study aims to examine associated factors in a study population aged 75 and above in rural areas. METHODS: Baseline data from the MOBILE trial involving 212 participants aged 75 and above and collected between June 2021 and October 2022 were analyzed. Out-of-home mobility was measured temporally as time out of home (TOH) and spatially as convex hull (CHull) using GPS over seven days. Mixed models considered outpatient care parameters as well as personal, social, and environmental factors along with covariates such as age and gender. RESULTS: Participants in the MOBILE study (average age 81.5; SD: 4.1; 56.1% female) exhibited average out-of-home mobility of TOH: 319.3â¯min (SD: 196.3) and CHull: 41.3 (SD: 132.8). Significant associations were found for age (TOH: ßâ¯= -0.039, pâ¯< 0.001), social network (TOH: ßâ¯= 0.123, pâ¯< 0.001), living arrangement (CHull: ßâ¯= 0.689, pâ¯= 0.035), health literacy (CHull: ßâ¯= 0.077, pâ¯= 0.008), sidewalk quality (ßâ¯= 0.366, pâ¯= 0.003), green space ratio (TOH: ßâ¯= 0.005, pâ¯= 0.047), outpatient care utilization (TOH: ßâ¯= -0.637, pâ¯< 0.001, CHull: ßâ¯= 1.532; pâ¯= 0.025), and active driving (TOH: ßâ¯= -0.361, pâ¯= 0.004). DISCUSSION: Previously known multifactorial associations related to objectively measured out-of-home mobility in old age could be confirmed in rural areas. Novel and relevant for research and practice is the significant correlation between out-of-home mobility and outpatient care utilization.
ABSTRACT
BACKGROUND: As global positioning system (GPS) measurement is getting more precise and affordable, health researchers can now objectively measure mobility using GPS sensors. Available systems, however, often lack data security and means of adaptation and often rely on a permanent internet connection. OBJECTIVE: To overcome these issues, we aimed to develop and test an easy-to-use, easy-to-adapt, and offline working app using smartphone sensors (GPS and accelerometry) for the quantification of mobility parameters. METHODS: An Android app, a server backend, and a specialized analysis pipeline have been developed (development substudy). Parameters of mobility by the study team members were extracted from the recorded GPS data using existing and newly developed algorithms. Test measurements were performed with participants to complete accuracy and reliability tests (accuracy substudy). Usability was examined by interviewing community-dwelling older adults after 1 week of device use, followed by an iterative app design process (usability substudy). RESULTS: The study protocol and the software toolchain worked reliably and accurately, even under suboptimal conditions, such as narrow streets and rural areas. The developed algorithms had high accuracy (97.4% correctness, F1-score=0.975) in distinguishing dwelling periods from moving intervals. The accuracy of the stop/trip classification is fundamental to second-order analyses such as the time out of home, as they rely on a precise discrimination between the 2 classes. The usability of the app and the study protocol was piloted with older adults, which showed low barriers and easy implementation into daily routines. CONCLUSIONS: Based on accuracy analyses and users' experience with the proposed system for GPS assessments, the developed algorithm showed great potential for app-based estimation of mobility in diverse health research contexts, including mobility patterns of community-dwelling older adults living in rural areas. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12877-021-02739-0.
ABSTRACT
BACKGROUND: Maintaining mobility in old age is crucial for healthy ageing including delaying the onset and progress of frailty. However, the extent of an individuals´ mobility relies largely on their personal, social, and environmental resources as outlined in the Life-Space Constriction Model. Recent studies mainly focus on facilitating habitual out-of-home mobility by fostering one type of resources only. The MOBILE trial aims at testing whether tablet-assisted motivational counselling enhances the mobility of community-dwelling older adults by addressing personal, social, and environmental resources. METHODS: In the MOBILE randomized controlled trial, we plan to enrol 254 community-dwelling older adults aged 75 and older from Havelland, a rural area in Germany. The intervention group will receive a tablet-assisted motivational counselling at the participant´s home and two follow-up telephone sessions. Main focus of the counselling sessions lays on setting and adapting individual mobility goals and applying action planning and habit formation strategies by incorporating the personal social network and regional opportunities for engaging in mobility related activities. The control group will receive postal general health information. The primary mobility outcome is time out-of-home assessed by GPS (GPS.Rec2.0-App) at three points in time (baseline, after one month, and after three months for seven consecutive days each). Secondary outcomes are the size of the GPS-derived life-space convex hull, self-reported life-space mobility (LSA-D), physical activity (IPAQ), depressive symptoms (GDS), frailty phenotype, and health status (SF-12). DISCUSSION: The MOBILE trial will test the effect of a motivational counselling intervention on out-of-home mobility in community-dwelling older adults. Novel aspects of the MOBILE trial include the preventive multi-level intervention approach in combination with easy-to-use technology. The ecological approach ensures low-threshold implementation, which increases the benefit for the people in the region. TRIAL REGISTRATION: The MOBILE trial is prospectively registered at DRKS (Deutsches Register Klinischer Studien, German Registry of Clinical Trials) DRKS00025230 . Registered 5 May 2021.
