Exploring Factors and Strategies to Promote Chinese Elders’ Physical Activity

This study was designed to explore factors and strategies to promote Chinese elders’ physical activity and cultivate healthy lifestyles. We collected the CHARLS survey 2011 baseline data, and selected 2647 cases of the elderly population in China. Based on the social ecosystem theory, the univariate analysis and ordered logistic regression were used. The model was analyzed for multivariate analysis. In the present study, the appropriate IRB approval has been obtained from Peking University. The theory of social ecology believes that individual behavior is influenced individual factors, inter-individual factors, organizational factors, community factors and policy factors. This article used the gender, age, marriage, education, and self-assessment of health status in the survey results as independent variables of individual factors, used whether to provide care for grandchildren, the frequency of participation in social activities as independent variables of inter-individual factors, used whether there are organizations that assist the elderly, the weak, the disabled population and whether there are elderly associations as the independent variables of organizational factors, then uses whether there is geriatric health service center as an independent variable of community factor. In this paper, physical activity participation intensity was used as the dependent variable, and single factor correlation analysis was performed with each independent variable. The other nine chi-square test significant independent variables except for age were included in the multiple regression model. The results showed that compared with other marital status, the physical activity intensity of the elderly population with spouses living together is greater; the elderly population who has better self-rated health scores and has higher social frequency, has stronger physical activity intensity; the elderly population who has geriatric health care service centers in their residence has stronger physical activity intensity. The following suggestions to promote health of Chinese elderly population can be made: the elderly population should establish their own awareness of health care and exercise; the children of the elderly population should strengthen their care for the elderly population; the community pension service organizations should take the initiative to play an active role to care the elderly population; the elderly population residence should strengthen the supporting hardware facilities

Influencing Factors and Future Route of Chinese Teenagers’ Health Based on the Healthy China 2030 Strategy

The purpose of this study was to examine the influencing factors for Chinese teenager health and possible future route according to the Healthy China 2030 Strategy. Using data from physical fitness test of Han nationality students aged 7-18 years in in 2014, we analyzed the influencing factors and the degree of physical health of Chinese teenagers. Combining dimensionality reduction, visualization and other unsupervised machine learning techniques, 6 physical fitness indicators, including vital capacity, standing long jump, 50-meter run, muscle strength, endurance and grip strength, were converted into 2 two components, accounting for 91% of the total variance. Applying multivariate logistic regression models, we revealed that physical factors were closely related to health, the increase in age and height were accompanied with the improvement in physical health. However, there was a negative correlation between physical education and physical health. Additionally, there was a significant positive correlation between adequate public health input and higher physical health, while the correlation between social economic level and physical health was weak. To improve teenager’s health, the government should actively carry out national policies and cooperate with a top-level design. The society may integrate resources to help teenagers to keep fit while the school implements policies to guarantee the sustainable development of physical health

A Method for Classifying Complex Features in Urban Areas Using Video Satellite Remote Sensing Data

The classification of optical satellite-derived remote sensing images is an important satellite remote sensing application. Due to the wide variety of artificial features and complex ground situations in urban areas, the classification of complex urban features has always been a focus of and challenge in the field of remote sensing image classification. Given the limited information that can be obtained from traditional optical satellite-derived remote sensing data of a classification area, it is difficult to classify artificial features in detail at the pixel level. With the development of technologies, such as satellite platforms and sensors, the data types acquired by remote sensing satellites have evolved from static images to dynamic videos. Compared with traditional satellite-derived images, satellite-derived videos contain increased ground object reflection information, especially information obtained from different observation angles, and can thus provide more information for classifying complex urban features and improving the corresponding classification accuracies. In this paper, first, we analyze urban-area, ground feature characteristics and satellite-derived video remote sensing data. Second, according to these characteristics, we design a pixel-level classification method based on the application of machine learning techniques to video remote sensing data that represents complex, urban-area ground features. Last, we conduct experiments on real data. The test results show that applying the method designed in this paper to classify dynamic, satellite-derived video remote sensing data can improve the classification accuracy of complex features in urban areas compared with the classification results obtained using static, satellite-derived remote sensing image data at the same resolution

Genome-wide association study in Chinese identifies novel loci for blood pressure and hypertension

Hypertension is a common disorder and the leading risk factor for cardiovascular disease and premature deaths worldwide. Genome-wide association studies (GWASs) in the European population have identified multiple chromosomal regions associated with blood pressure, and the identified loci altogether explain only a small fraction of the variance for blood pressure. The differences in environmental exposures and genetic background between Chinese and European populations might suggest potential different pathways of blood pressure regulation. To identify novel genetic variants affecting blood pressure variation, we conducted a meta-analysis of GWASs of blood pressure and hypertension in 11 816 subjects followed by replication studies including 69 146 additional individuals. We identified genome-wide significant (P < 5.0 x 10(-8)) associations with blood pressure, which included variants at three new loci (CACNA1D, CYP21A2, and MED13L) and a newly discovered variant near SLC4A7. We also replicated 14 previously reported loci, 8 (CASZ1, MOV10, FGF5, CYP17A1, SOX6, ATP2B1, ALDH2, and JAG1) at genome-wide significance, and 6 (FIGN, ULK4, GUCY1A3, HFE, TBX3-TBX5, and TBX3) at a suggestive level of P = 1.81 x 10(-3) to 5.16 x 10(-8). These findings provide new mechanistic insights into the regulation of blood pressure and potential targets for treatments.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000350137900021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Biochemistry & Molecular BiologyGenetics & HereditySCI(E)[email protected]

Genome-wide association study in Han Chinese identifies four new susceptibility loci for coronary artery disease

We performed a meta-analysis of 2 genome-wide association studies of coronary artery disease comprising 1,515 cases with coronary artery disease and 5,019 controls, followed by de novo replication studies in 15,460 cases and 11,472 controls, all of Chinese Han descent. We successfully identified four new loci for coronary artery disease reaching genome-wide significance (P < 5 × 10(−8)), which mapped in or near TTC32-WDR35, GUCY1A3, C6orf10-BTNL2 and ATP2B1. We also replicated four loci previously identified in European populations (PHACTR1, TCF21, CDKN2A/B and C12orf51). These findings provide new insights into biological pathways for the susceptibility of coronary artery disease in Chinese Han population