Xiaonan Zhou
Biographic Data
| ID | 9020694 |
|---|---|
| NAME | Xiaonan Zhou |
| GIVEN NAMES | Xiaonan |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU X |
| AFFILIATIONS | Guangzhou University of Chinese Medicine |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The utilization, characteristics, and influencing factors of non-therapeutic traditional Chinese medicine services among middle-aged and older population in Guangzhou, China
Background: As an integral part of the "Healthy China" strategy, healthy aging emphasizes meeting the non-therapeutic health needs of middle-aged and older populations, which is highly consistent with Traditional Chinese Medicine (TCM) concepts. However, empirical studies focusing on the utilization patterns and determinants of such services among the middle-aged and older population remain limited. This study aims to assess the utilization and i…
Fertility intention and its determinants of childbearing-age population in China after the three-child policy
Background: China's sustained fertility decline has intensified population contraction and ageing. Following the rollout of the three-child policy, clarifying fertility intentions among the childbearing-age population and their determinants is crucial for effective policy design and fertility promotion. Methods: We conducted a systematic search of PubMed, Embase, the Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfa…
Prediction of suicidal ideation among Chinese college students based on radial basis function neural network
Background: Suicide is one of the leading causes of death for college students. The predictors of suicidal ideation among college students are inconsistent and few studies have systematically investigated psychological symptoms of college students to predict suicide. Therefore, this study aims to develop a suicidal ideation prediction model and explore important predictors of suicidal ideation among college students in China. Methods: We recruite…
No prominent works on this page.
Prediction of suicidal ideation among Chinese college students based on radial basis function neural network
Background: Suicide is one of the leading causes of death for college students. The predictors of suicidal ideation among college students are inconsistent and few studies have systematically investigated psychological symptoms of college students to predict suicide. Therefore, this study aims to develop a suicidal ideation prediction model and explore important predictors of suicidal ideation among college students in China. Methods: We recruite…
The utilization, characteristics, and influencing factors of non-therapeutic traditional Chinese medicine services among middle-aged and older population in Guangzhou, China
Background: As an integral part of the "Healthy China" strategy, healthy aging emphasizes meeting the non-therapeutic health needs of middle-aged and older populations, which is highly consistent with Traditional Chinese Medicine (TCM) concepts. However, empirical studies focusing on the utilization patterns and determinants of such services among the middle-aged and older population remain limited. This study aims to assess the utilization and i…
Fertility intention and its determinants of childbearing-age population in China after the three-child policy
Background: China's sustained fertility decline has intensified population contraction and ageing. Following the rollout of the three-child policy, clarifying fertility intentions among the childbearing-age population and their determinants is crucial for effective policy design and fertility promotion. Methods: We conducted a systematic search of PubMed, Embase, the Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfa…
Population (2 works) · Biofield Effects and Biophysics (1 work) · China (1 work) · Chronic disease (1 work) · Clinical Psychology (1 work) · Complementary and Alternative Medicine Studies (1 work) · Demographic Trends and Gender Preferences (1 work) · Disease (1 work) · Family Dynamics and Relationships (1 work) · Family planning (1 work)