Status quo and influencing factors of negative classroom silent under the background of college enrollment expansion behaviors: A cross-sectional study of nursing undergraduates

2021 ◽  
pp. 105221
Author(s):  
Yuling Jia ◽  
Yuexue Xue ◽  
Xiuhong Wang
2019 ◽  
Author(s):  
Jiaojiao Ren ◽  
Xiling Yin ◽  
Guangyou Li ◽  
Jun Li ◽  
Liju Zhang ◽  
...  

Abstract Background: The high incidence of sub-health and its impact on life and work have attracted wide attention. Sub-health status has been studied in China; however, there remains a lack of studies on multi-dimensional factors affecting sub-health status. This study aims to explore the sub-health status of residents, and its influencing factors in Zhuhai city of Guangdong Province of China. Methods: Data were originated from the baseline survey of Zhuhai WHO Healthy Cities Index System in 2015, which was a cross-sectional study for the influencing factors associated with sub-health status. Finally, 3,313 participants aged 16-65 years were recruited. The study used the Sub-health Measurement Scale (SHMS V1.0), and the multivariate logistic regression model was to examine their possible associations with sub-health status. Data were analyzed using the SPSS version 22.0. Results: Sub-health and non-sub-health groups accounted for 56.8% and 43.2% of the study population, respectively. There existed significant differences in terms of all items of SHMS V1.0 between the two groups. In the multivariate model, the place of residence was statistically significantly associated with sub-health, followed by having many close neighbors, relatives or friends, and happy feelings. Conclusion: There are significant differences in many items of SHMS V1.0 between sub-health and non-sub-health groups. The leading determinants of sub-health included place of residence; having close neighbors, relatives or friends; having happy feelings; and negative emotions. To develop an effective sub-health intervention program, these factors should be taken into consideration. To develop an effective sub-health intervention program, the influencing factors should be taken into consideration.


2020 ◽  
Vol 17 (4) ◽  
Author(s):  
Xiu‐Min Jiang ◽  
Xiao‐Qian Chen ◽  
Jing Zheng ◽  
Qing‐Xiang Zheng ◽  
Xin‐Xin Huang ◽  
...  

2019 ◽  
Vol 28 (17-18) ◽  
pp. 3168-3176 ◽  
Author(s):  
Leire Ambrosio ◽  
Mari Carmen Portillo ◽  
Carmen Rodriguez‐Blazquez ◽  
Jose Manuel Rojo ◽  
Pablo Martinez‐Martin ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e031021
Author(s):  
Yiwen Huang ◽  
Lijuan Wang ◽  
Junsheng Huo ◽  
Qiong Wu ◽  
Wei Wang ◽  
...  

ObjectiveTo investigate the current situation of anaemia among children aged 6–23 months in a rural county in China, and to explore the influencing factors and the main causes of anaemia.DesignA cross-sectional study.SettingHuzhu County in Qinghai Province, ChinaParticipantsWe selected 38 sampled villages using Proportional to Population Size sampling method. We obtained the name list of children aged 6–23 months in each sampled village and planned to survey all the eligible children aged 6–23 months and their caregivers.Primary and secondary outcomes measuresThe prevalence of anaemia, the influencing factors of anaemia, the laboratory tests for biological causes of anaemia, including serum ferritin, soluble transferrin receptor, folic acid, homocysteine and vitamin B12.ResultsA total of 754 children aged 6–23 months and their caregivers were surveyed, and 183 anaemic children aged 12–23 months were collected venous blood sample. The anaemia prevalence of children aged 6–23 months in Huzhu County was 59.1%. Children of younger age (OR=0.968, 95% CI 0.940 to 0.998), Tibetan nationality (OR=3.123, 95% CI 1.473 to 6.623) and not introducing meat (OR=0.698, 95% CI 0.499 to 0.976) were more likely to be anaemic. More than 80% of children with anaemia were due to iron deficiency (ID), and 20.2% of them had both iron and folic acid deficiencies.ConclusionsThe anaemia prevalence of children aged 6–23 months in Huzhu County was high and children of younger age, Tibetan nationality and not introducing meat were more likely to be anaemic. The main cause of anaemia was nutritional anaemia, with the vast majority being ID. Interventions of feeding counselling and nutrients supplements are appropriate and should be further strengthened.Trial registration numberChiCTRPRC12002444.


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