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• Developed a framework combining PCA and logistic regression to predict fall risks in older adults. • Selected hospitalization due to falls as outcome measure for model development. • PCA with full variables showed best prediction performance (AUC=0.78, sensitivity=74 %). • Provided practical suggestions for community health promotion and fall prevention. • Compared feature selection between traditional statistics and machine learning. Falls require comprehensive assessment in older adults due to their diverse risk factors. This study aimed to develop an effective fall risk prediction model for community-dwelling older adults by integrating principal component analysis (PCA) with machine learning. Data were collected for 45 fall-related variables from 1630 older adults in Taiwan, and models were developed using PCA and logistic regression. The optimal model, PCA with stepwise logistic regression, had an area under the receiver operating characteristic curve of 0.78, sensitivity of 74 %, specificity of 70 %, and accuracy of 71 %. While dimensionality reduction via PCA is not essential, it aids practicality. Our framework combines PCA and logistic regression, providing a reliable method for fall risk prediction to support consistent screening and targeted health promotion. The key innovation is using PCA prior to logistic regression, overcoming conventional limitations. This offers an effective community-based fall screening tool for older adults. [ABSTRACT FROM AUTHOR]

To report the prevalence of preschool myopia after implementing a policy intervention promoting outdoor activities and the secular trend of myopia before and during the coronavirus disease 2019 (COVID-19) pandemic in a Taiwan preschool population. Repeated countywide population-based, cross-sectional surveys based on the Yilan Myopia Prevention and Vision Improvement Program (YMVIP). Among 23 930 kindergarteners 5 to 6 years of age from 7 school-year cohorts in Yilan County from 2014 through 2020, a total of 21 761 children (90.9%) were included for analysis. Since launching the YMVIP in August 2014, myopia prevention strategies, such as increasing outdoor activities (2 hours/weekday), have been promoted in all kindergartens, and countywide school-based eye examinations, including cycloplegic autorefraction, and caregiver-administered questionnaires have been carried out annually for all participants. The prevalence of myopia (spherical equivalent, ≤ –0.5 D in either eye) in each of the 7 school-year cohorts of preschoolers 5 to 6 years of age. The prevalence of myopia continuously decreased for 2 years after implementing the YMVIP: 2014 cohort, 15.5% (95% confidence interval [CI], 14.2%–16.8%); 2015 cohort, 13.5% (95% CI, 12.3%–14.7%); and 2016 cohort, 8.4% (95% CI, 7.4%–9.4%). Subsequent cohorts were exposed maximally to these school-based myopia prevention strategies, and the prevalence of myopia remained relatively stable, between 8.5% and 10.3%, even during the COVID-19 pandemic. Multivariate logistic regression analysis showed a dose-dependent association between the duration of exposure to preventive strategies and the prevalence of myopia (up to 1-year YMVIP exposure, odds ratio, 0.86 [95% CI, 0.74–0.99]; up to 2-year YMVIP exposure, odds ratio, 0.56 [95% CI, 0.50–0.63]) after controlling other myopigenic factors. This population-based evidence showed high prevalence of preschool myopia and an L-shaped decline after introducing strategies to promote outdoor activities in kindergartens. With undisrupted school-based preventive strategies, the prevalence of myopia can be kept stable, even during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Angiotensin-converting enzyme (ACE) inhibition has been shown to improve clinical myocardial ischemia in patients with syndrome X (angina pectoris, positive treadmill exercise test, normal coronary angiograms, and no evidence of coronary spasm). This study was conducted to investigate the effects of long-term ACE inhibitors on endothelial nitric oxide (NO) metabolism and coronary microvascular function in patients with syndrome X. After a 2-week washout period, 20 patients with syndrome X were randomized to receive either enalapril, an ACE inhibitor, 5 mg twice daily (n = 10) or placebo (n = 10) in a double-blind design for 8 weeks. Another 6 age- and gender-matched subjects with negative treadmill exercise tests were also studied as controls. Compared with control subjects, patients with syndrome X had significantly reduced coronary flow reserve, reduced plasma levels of nitrate and nitrite (NOx), and a reduced plasma l-arginine to asymmetric dimethylarginine (ADMA) ratio (an index of systemic NO metabolism), as well as reduced endothelial function. These patients also had increased plasma levels of ADMA, which is an endogenous inhibitor of NO synthase and of von Willebrand factor, a marker of endothelial injury. Baseline characteristics including exercise performance and coronary flow reserve were similar between enalapril and placebo groups. After an 8-week treatment period, exercise duration (p = 0.001) and coronary flow reserve (p = 0.001) significantly improved with enalapril but not with placebo. Enalapril treatment, but not placebo, reduced plasma von Willebrand factor (p = 0.03) and ADMA levels (p = 0.01) and increased NOx levels (p = 0.01) and the ratio of l-arginine to ADMA (p <0.01). In patients with syndrome X, the plasma NOx level was positively and ADMA level inversely correlated with coronary flow reserve before and after the treatment. In conclusion, long-term ACE inhibitor treatment with enalapril improved coronary microvascular function as well as myocardial ischemia in patients with syndrome X. This may be related to the improvement of endothelial NO bioavailability with the reduction of plasma ADMA levels. [Copyright &y& Elsevier]