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Zixin Zeng

Biographic Data

ID7868906
NAMEZixin Zeng
GIVEN NAMESZixin
FAMILY NAMEZeng
SIGNATUREZENG Z
AFFILIATIONSWuhan University
ORCID0000-0001-8145-4044
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • A Long-Term Trend Study of Tuberculosis Incidence in China, India and United States 1992–2017: A Joinpoint and Age–Period–Cohort Analysis

    Open Access•Yiran Cui, Hui Shen et al.•ARTICLE•International Journal of…•2020

    Tuberculosis (TB) is one of the major infectious diseases with the largest number of morbidity and mortality. Based on the comparison of high and low burden countries of tuberculosis in China, India and the United States, the influence of age-period-cohort on the incidence of tuberculosis in three countries from 1992 to 2017 was studied based on the Global burden of Disease Study 2017. We studied the trends using Joinpoint regression in the age-s…

  • Associations between Intensity, Frequency, Duration, and Volume of Physical Activity and the Risk of Stroke in Middle- and Older-Aged Chinese People: A Cross-Sectional Study

    Open Access•Donghui Yang, Yuqian Bian et al.•ARTICLE•International Journal of…•2020

    This study revealed some significant associations between different dimensions of PA, especially MPA, and the risk of stroke. Furthermore, the difference of association was observed in the groups with different sex. Further prospective study is needed to determine deeper associations between PA and the risk of stroke

  • Physical Activity Dimensions and Its Association with Risk of Diabetes in Middle and Older Aged Chinese People

    Open Access•Zixin Zeng, Yuqian Bian et al.•ARTICLE•International Journal of…•2020

    Background: Diabetes and physical inactivity are prevalent worldwide. Risk of diabetes is known to be related with insufficient physical activity (PA), but associations with the respective dimensions of PA is unclear. Objective: To describe the patterns of physical activity among Chinese middle- and older-aged individuals and figure out their associations with diabetes risk in different dimensions. Methods: Extracting self-reported data from Chin…

No prominent works on this page.

  • A Long-Term Trend Study of Tuberculosis Incidence in China, India and United States 1992–2017: A Joinpoint and Age–Period–Cohort Analysis

    Open Access•Yiran Cui, Hui Shen et al.•ARTICLE•International Journal of…•2020

    Tuberculosis (TB) is one of the major infectious diseases with the largest number of morbidity and mortality. Based on the comparison of high and low burden countries of tuberculosis in China, India and the United States, the influence of age-period-cohort on the incidence of tuberculosis in three countries from 1992 to 2017 was studied based on the Global burden of Disease Study 2017. We studied the trends using Joinpoint regression in the age-s…

  • Associations between Intensity, Frequency, Duration, and Volume of Physical Activity and the Risk of Stroke in Middle- and Older-Aged Chinese People: A Cross-Sectional Study

    Open Access•Donghui Yang, Yuqian Bian et al.•ARTICLE•International Journal of…•2020

    This study revealed some significant associations between different dimensions of PA, especially MPA, and the risk of stroke. Furthermore, the difference of association was observed in the groups with different sex. Further prospective study is needed to determine deeper associations between PA and the risk of stroke

  • Physical Activity Dimensions and Its Association with Risk of Diabetes in Middle and Older Aged Chinese People

    Open Access•Zixin Zeng, Yuqian Bian et al.•ARTICLE•International Journal of…•2020

    Background: Diabetes and physical inactivity are prevalent worldwide. Risk of diabetes is known to be related with insufficient physical activity (PA), but associations with the respective dimensions of PA is unclear. Objective: To describe the patterns of physical activity among Chinese middle- and older-aged individuals and figure out their associations with diabetes risk in different dimensions. Methods: Extracting self-reported data from Chin…

Demography (3 works) · Demography (3 works) · Internal Medicine (3 works) · Medicine (3 works) · Logistic regression (2 works) · Longitudinal study (2 works) · Obesity, Physical Activity, Diet (2 works) · Odds ratio (2 works) · Physical Activity and Health (2 works) · Behavioral Health and Interventions (1 works)

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