Qualitative inquiry of a community dance program for older adults in Singapore.

Dance programs promote physical and psychosocial well-being. However, studies focusing on the experiences of older adults in dancing are limited. This study aims to develop a community dance program (CDP) for older adults at senior activity centers in Singapore, as well as to explore the older adults' and student instructors' experiences of the CDP. A qualitative inquiry of semi-structured and in-depth focus group discussions was conducted. In total, 20 older adults and 10 student dance instructors participated in the study. Student instructors who were undergraduate students from a dance society were trained in how to provide step-by-step instructions for the older adults. An inductive approach of thematic analysis was undertaken. Three main themes were identified: (i) promotion of physical, cognitive, and psychosocial health with dance; (ii) imagination is power-travel through dance; and (iii) further enhancement of the dance program. The themes highlighted the prominence of CDP in improving memory, physical health, mood, and social interactions-thus mitigating the risk of social isolation. The findings illustrated the benefits of CDP in cultivating intergenerational bonds amongst older adults and student instructors.

State variation in effects of state social distancing policies on COVID-19 cases.

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) sickened over 20 million residents in the United States (US) by January 2021. Our objective was to describe state variation in the effect of initial social distancing policies and non-essential business (NEB) closure on infection rates early in 2020. METHODS: We used an interrupted time series study design to estimate the total effect of all state social distancing orders, including NEB closure, shelter-in-place, and stay-at-home orders, on cumulative COVID-19 cases for each state. Data included the daily number of COVID-19 cases and deaths for all 50 states and Washington, DC from the New York Times database (January 21 to May 7, 2020). We predicted cumulative daily cases and deaths using a generalized linear model with a negative binomial distribution and a log link for two models. RESULTS: Social distancing was associated with a 15.4% daily reduction (Relative Risk = 0.846; Confidence Interval [CI] = 0.832, 0.859) in COVID-19 cases. After 3 weeks, social distancing prevented nearly 33 million cases nationwide, with about half (16.5 million) of those prevented cases among residents of the Mid-Atlantic census division (New York, New Jersey, Pennsylvania). Eleven states prevented more than 10,000 cases per 100,000 residents within 3 weeks. CONCLUSIONS: The effect of social distancing on the infection rate of COVID-19 in the US varied substantially across states, and effects were largest in states with highest community spread.