The Impact of Dance Interventions on Patients with Noninfectious Pulmonary Diseases: A Systematic Review

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Abstract

Dance has been highlighted as one of the most enjoyable, safe, and feasible forms of physical activity, improving physical health, mental health, and general well-being, among various patients. Little is known about the effect and impact of dance interventions to improve health among patients with pulmonary diseases, and research lacks a robust synthesis of evidence. Therefore, this systematic review aimed to investigate the impact of dance intervention on patients with noninfectious pulmonary diseases. Following the PRISMA guidelines, six electronic databases were searched in May 2022. Of the 1308 unique records identified, seven studies (five quantitative, two qualitative) across four countries were included in this systematic review. Six studies investigated adult populations, and one study explored the effect of dance on children. The dance interventions lasted between 1 and 10 weeks. Overall, dance was perceived to have a broad range of physical/mental/social benefits, including quality of life, social cohesion, dyspnoea levels, balance, exercise tolerance, general well-being, and adherence to nutrition regimens. Furthermore, the dance session was the most enjoyable activity among children and adolescents with asthma. With available evidence, dance interventions are promising and may effectively improve health and well-being among patients with noninfectious pulmonary diseases. More organised and continuous long-term dance interventions in future may reveal a detailed impact on health outcomes.

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Estimating the mean and variance from the median, range, and the size of a sample

Stela Pudar Hozo, Benjamin Djulbegovic, Iztok Hozo (2005)

Background Usually the researchers performing meta-analysis of continuous outcomes from clinical trials need their mean value and the variance (or standard deviation) in order to pool data. However, sometimes the published reports of clinical trials only report the median, range and the size of the trial. Methods In this article we use simple and elementary inequalities and approximations in order to estimate the mean and the variance for such trials. Our estimation is distribution-free, i.e., it makes no assumption on the distribution of the underlying data. Results We found two simple formulas that estimate the mean using the values of the median (m), low and high end of the range (a and b, respectively), and n (the sample size). Using simulations, we show that median can be used to estimate mean when the sample size is larger than 25. For smaller samples our new formula, devised in this paper, should be used. We also estimated the variance of an unknown sample using the median, low and high end of the range, and the sample size. Our estimate is performing as the best estimate in our simulations for very small samples (n ≤ 15). For moderately sized samples (15 70), the formula range/6 gives the best estimator for the standard deviation (variance). We also include an illustrative example of the potential value of our method using reports from the Cochrane review on the role of erythropoietin in anemia due to malignancy. Conclusion Using these formulas, we hope to help meta-analysts use clinical trials in their analysis even when not all of the information is available and/or reported.

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The well-built clinical question: a key to evidence-based decisions

W Richardson, Mark Wilson, Jim Nishikawa … (1995)

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The global burden of respiratory disease.

Dean Schraufnagel, Thomas Ferkol (2014)

The Forum of International Respiratory Societies has released a report entitled Respiratory Disease in the World: Realities of Today-Opportunities for Tomorrow. The report identifies five conditions that primarily contribute to the global burden of respiratory disease (asthma, chronic obstructive pulmonary disease, acute respiratory infections, tuberculosis, and lung cancer), and offers an action plan to prevent and treat those diseases. It describes the staggering magnitude of the global burden of lung disease: hundreds of millions of people suffer and four million people die prematurely from respiratory diseases each year. The situation is not hopeless, because most major respiratory illnesses are avoidable. Much of the disease burden can be mitigated by reducing exposure to indoor and outdoor air pollution, restraining tobacco use, and relieving urban overcrowding. Implementation of the strategies described in the Forum of International Respiratory Societies respiratory diseases report would have a profound effect on respiratory health, reduce economic costs, and enhance health equality in the world.