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A Web-Based, Pedometer-Mediated Intervention Increases Amount and Intensity of Physical Activity in COPD: A Randomized Controlled Trial.

INTRODUCTION: Ground-based walking training is an aerobic exercise used in supervised pulmonary rehabilitation (PR). Physical activity (PA) interventions typically promote step counts, but it is unclear whether community-based walking intensity can be targeted as aerobic exercise. This randomized controlled trial evaluated a web-based, pedometer-mediated PA intervention designed to increase walking amount and intensity. MATERIAL AND METHODS: Participants with COPD who had never enrolled in PR were randomized 1:1 to control or intervention. The intervention included individualized step-count goals, iterative feedback, educational content, and an online community forum. The Fitbit Inspire Heart Rate objectively monitored daily step counts. Participants were instructed to achieve step-count goals with as many steps of moderate-intensity as possible guided by a modified Borg rating of 4-5 for dyspnea. The primary outcome was change in PA measured as average daily step count at 12 weeks. Aerobic intensity was assessed by the Rapid Assessment of PA Questionnaire which uses self-reported moderate or vigorous PA to categorize responders as underactive or active. Linear mixed-effects models (PROC MIXED, SAS v9.4), adjusting for group, time, group*time, FEV1%predicted, enrollment season, and study modality (eg, in-person, virtual, hybrid), assessed between-group change. RESULTS: Participants (57 intervention, 52 control) were 97% male, mean age 73±7 years, and baseline FEV1 73±23% predicted. Baseline daily steps were 4,222±1,929 (intervention) and 4,851±2,637 (control). Intervention participants increased average daily steps by 1,410 steps/day more than controls (p=0.005). The intervention group showed greater transitions from underactive to active intensity (between-group: p=0.025), with 20 (41%) moving to active status (within-group: p=0.001). CONCLUSION: Technology-mediated community-based walking increased PA amount and intensity. These findings support further evaluation of this intervention as a potential option for ground-based walking training with objective measurement of exercise intensity.

Humans

Evaluating Wearable Devices for Remote Monitoring in Psychosis: Pilot Study Nested Within the CONNECT Cohort Study.

BACKGROUND: Digital remote monitoring technologies, including smartphones and wearables, offer promising avenues for early detection of psychosis relapse. However, selecting devices that are acceptable to participants and produce high-quality data remains challenging. OBJECTIVE: The aim of this nested pilot study was to assess the acceptability and data quality of 3 commercially available wearable devices in people with psychosis recruited to the CONNECT cohort study. METHODS: Participants recruited to the CONNECT study before July 31, 2024, were included in the pilot study and selected 1 of 3 wearable devices: a Fitbit Charge 5, Samsung Galaxy Watch 5, or Apple Watch SE. Baseline demographics were compared between device groups. Acceptability of devices to participants was assessed through a Wearable Device Satisfaction Questionnaire after 3 months of use, with the proportion of positive responses to each question calculated and compared. Data completeness was also assessed by calculating the number (and percentage) of valid days of step count, heart rate, and sleep data, and comparing between groups. Data quality was assessed through summarizing the amount of troubleshooting required, additional metrics available from the wearables, and continuity of data completeness by calculating the proportion of participants with at least 3 days of heart rate data per week for the first 20 weeks of follow-up. Predefined criteria were used to determine the next steps for the wider CONNECT study: if one device was superior, this would be selected; if none were found to be superior and the Fitbit was found to be noninferior, then Fitbit would be retained. RESULTS: Of the first 107 participants recruited to CONNECT, 105 were included in the pilot study evaluation. The Samsung Galaxy Watch was selected most frequently by participants (46/105, 43.8%), followed by the Apple Watch (27/105, 25.7%), and Fitbit Charge (23/105, 21.9%). Differences in participant demographics were observed across device groups. Self-reported acceptability after use did not differ substantially between devices. However, in terms of data completeness, the median proportion of valid heart rate data days was significantly lower for Samsung Galaxy (median 31.2%, IQR 8.5%-46.0%) compared to Fitbit (median 80.1%, IQR 26.7%-95.0%; P=.003) and Apple Watch (median 49.3%, IQR 21.5%-86.0%; P=.02). There was no significant difference between Fitbit and Apple Watch. Similar patterns were observed for step count and sleep data. The Samsung Galaxy Watch required more frequent troubleshooting for data flow issues and lacked additional physiological metrics, available from the other devices. CONCLUSIONS: Due to comparatively lower data quality and technical performance, the Samsung Galaxy Watch was discontinued for use in the subsequent phase of the CONNECT study. The study highlights the importance of incorporating nested evaluations of devices in long-term research.

Humans

Assessing the potential of wastewater-based epidemiology to evaluate the impact of COVID-19 policy changes on stimulant use across 17 countries.

BACKGROUND AND AIMS: A limited number of studies have employed wastewater-based epidemiology (WBE) to assess the impact of specific COVID-19 public health directives on stimulant consumption. This study investigates the potential of WBE as a complementary information source to support decision-making, by examining drug use changes during the pandemic. METHODS: WBE data on stimulant use from 2019 through 2022 was obtained from 17 countries covering a total of 47 wastewater treatment plants worldwide. The Oxford Coronavirus Government Response Tracker stringency index was used to standardize the severity of the COVID-19 interventions across different countries. A multiple linear regression model was fitted for the population-normalized mass loads of amphetamine, cocaine (through its metabolite benzoylecgonine), MDMA, and methamphetamine to investigate whether changes in COVID-19 restrictions influenced stimulant use, controlling for possible week-weekend and spatial effects. RESULTS: In most locations, WBE suggests that stimulant use was not significantly affected by the COVID-19 interventions, or even increased under the stricter measures. Methamphetamine use showed the largest decrease with increasing policy stringency, with a negative linear relationship found in 19% of cities, followed by MDMA (18%), cocaine (15%) and amphetamine (6%). Social gathering restrictions mainly impacted cocaine and MDMA use, while methamphetamine consumption declined most under stringent travel restrictions. CONCLUSIONS: This study highlights the heterogeneous effects of the COVID-19 policy changes on stimulant use, even within countries. The ability of WBE to compile consecutive daily estimates proves to be particularly useful to assess the direct effect of specific policy changes on the consumption of different stimulants.

COVID-19 interventions