Falls Risk in Long-Term Care Residents With Cognitive Impairment: Effects of COVID-19 Pandemic.

OBJECTIVES: The aim of this study was to investigate the impact of the COVID-19 pandemic on falls rates in long-term care residents with cognitive impairment. DESIGN: An observational study using routinely collected national interRAI data. SETTING AND PARTICIPANTS: Participants were from long-term care residents (age ≥60 years) who received an interRAI Long Term Care Facility assessment anywhere in New Zealand between August 17, 2018, and August 16, 2022. METHODS: The primary outcome was "At least 1 fall in the last 30 days." Based on the Cognitive Performance Scale (CPS), cognitive impairment was categorized into 3 levels: intact or borderline intact (0-1), mild to moderate impairment (2-3), and moderately to very severe impairment (4-6). The COVID-19 pandemic was divided into 3 periods (First wave: March 21, 2020, to June 8, 2020; Varying level of community outbreaks: June 9, 2020 to August 16, 2021; and Delta-Omicron wave: August 17, 2021, to August 16, 2021) and compared to a pre-COVID-19 period (August 17, 2018, to March 20, 2020). Cox regression modeling was used to study falls and interactions between CPS and COVID-19 pandemic periods, along with other established falls risk factors in the literature. RESULTS: A total of 282,518 interRAI-LTCF assessments from 75,132 unique residents were included. Interactions between CPS and COVID-19 pandemic periods found that cognitive impairment was associated with a higher hazard ratio (ranged from 1.22 to 1.37) in each of the 3 COVID-19 pandemic periods. We also found unstable health, unsteady gait, wandering, and moderate to severe ADL dependency were the strongest risk factors for falls. CONCLUSIONS AND IMPLICATIONS: Cognitively impaired long-term care residents had an increased risk for falls during the COVID-19 pandemic. This risk was influenced by several factors. In future pandemic or infection control related isolation, residents who are most at risk can be identified for targeted falls prevention programs.

The unrealised potential of bike share schemes to influence population physical activity levels - A narrative review.

The recent proliferation of bike share schemes (BSS, also known as public bicycle use programs) in many cities has focused attention on their potential for reducing motorised traffic congestion, improving air quality and reducing car use. Since 2005, hundreds of bike share schemes have been implemented in many cities, with bike share usage patterns monitored in many of them. This paper assesses the development of BSS and provides a rationale for their potential health benefits. The key research question, as yet unanswered, is whether BSS themselves can contribute to improving population health, particularly through increasing population cycling, which would increase population levels of health-enhancing physical activity. This paper presents a framework for evaluating the contribution of BSS to population physical activity, and uses examples of new data analyses to indicate the challenges in answering this question. These illustrative analyses examine cycling in Australia, and [i] compares rates of cycling to work in BSS cities compared to the rest of Australia over time, and [ii] modelling trends in bike counts in Central Melbourne before and after introduction of the BSS in 2010, and compared to adjacent regions in nearby suburbs unexposed to a BSS. These indicative examples point to difficulties in attributing causal increases in cycling for transport to the introduction of a BSS alone. There is an evidence gap, and a need to identify opportunities to improve the health-related components of BSS evaluations, to answer the question whether they have any impact on population physical activity levels.