2.Physical Activity and Sedentary Behaviors among Chinese Children: Recent Trends and Correlates.
Xi YANG ; Alice Waiyi LEUNG ; Russell JAGO ; Shi Cheng YU ; Wen Hua ZHAO
Biomedical and Environmental Sciences 2021;34(6):425-438
Objective:
This study was aimed at examining the trends and correlates of physical activity (PA) and sedentary behaviors among Chinese children.
Methods:
A total of 4,341 subjects (6,936 observations) aged 6-17 years who participated in the China Health and Nutrition Survey (2004-2015) were included. Of the subjects, 41% participated in the survey twice or more. Random-effects ordinal regression models and repeated-measures mixed-effects models were used to examine the PA trends. Quantile regression models were applied to examine the factors influencing PA and sedentary behaviors.
Results:
From 2004 to 2015, the prevalence of physical inactivity among Chinese children aged 6-17 years increased by 5.5% [odds ratio (
Conclusions
A declining PA trend among Chinese children aged 6-17 years was observed from 2004 to 2015, and certain subgroups and geographical areas are at higher risk of physical inactivity.
Adolescent
;
Asian Continental Ancestry Group/statistics & numerical data*
;
Child
;
Child Behavior/ethnology*
;
China/epidemiology*
;
Exercise
;
Female
;
Humans
;
Male
;
Nutrition Surveys
;
Regression Analysis
;
Sedentary Behavior/ethnology*
3.Recent Trends in Sedentary Behaviors among Chinese Children According to Demographic and Social Characteristics.
Xi YANG ; Wai Yi LEUNG ; Yuan Sheng CHEN ; Yi Fei OUYANG ; Wen Hua ZHAO
Biomedical and Environmental Sciences 2021;34(8):593-605
Objective:
This study aims to explore trends in sedentary behavior among Chinese children aged 6-17 years per demographic and social characteristics.
Methods:
A total of 4,341 children aged 6-17 years who participated in the
Results:
From 2004 to 2015, sedentary time among children aged 6-17 years increased from 23.9 ± 0.6 h/week to 25.7 ± 0.6 h/week (
Conclusions
Sedentary time among Chinese children aged 6-17 years showed an upward trend from 2004 to 2015, especially among children residing in rural areas and regions with low urbanization levels.
Adolescent
;
Asian Continental Ancestry Group
;
Child
;
China
;
Female
;
Health Surveys
;
Humans
;
Male
;
Sedentary Behavior
;
Socioeconomic Factors
;
Urbanization
7.Guideline on optimal blood pressure range for Chinese oldest old.
Chinese Journal of Preventive Medicine 2021;55(3):335-338
Hypertension is a major problem of public health that endangers the health of the oldest old. However, the current guidelines for hypertension management do not uniformly diagnose hypertension among the oldest old, nor recommend a normal blood pressure range, which is not convictive enough to support the decision making to the prevention of blood pressure-related adverse events. This guideline gives guiding opinions on optimal blood pressure range for the Chinese oldest old, which applies to the staff of medical and health institutions at all levels nationwide to evaluate the blood pressure levels of the oldest old. It includes the sections of general principles, methods and standards of blood pressure evaluation, measurement conditions, specifications of blood pressure measurement, implementation approaches, etc. The guideline has important directive significance for improving the blood pressure management and decision-making level of the Chinese oldest old.
Aged, 80 and over
;
Asian Continental Ancestry Group
;
Blood Pressure
;
Blood Pressure Determination
;
China
;
Humans
;
Hypertension/prevention & control*
9.Association between cumulative blood pressure and long-term risk of cardiovascular disease: findings from the 26-year Chinese Multi-provincial Cohort Study-Beijing Project.
Shuai LIU ; Dong ZHAO ; Miao WANG ; Yue QI ; Jia-Yi SUN ; Jun LIU ; Yan LI ; Jing LIU
Chinese Medical Journal 2021;134(8):920-926
BACKGROUND:
Cumulative blood pressure (BP), a measure incorporating the level and duration of BP exposure, is associated with the risk of cardiovascular disease (CVD). However, the level at which cumulative BP could significantly increase the risk remains unclear. This study aimed to investigate the association of 15-year cumulative BP levels with the long-term risk of CVD, and to examine whether the association is independent of BP levels at one examination.
METHODS:
Data from a 26-year follow-up of the Chinese Multi-provincial Cohort Study-Beijing Project were analyzed. Cumulative BP levels between 1992 and 2007 were calculated among 2429 participants free of CVD in 2007. Cardiovascular events (including coronary heart disease and stroke) occurring from 2007 to 2018 were registered. Adjusted hazard ratios (HRs) for CVD incidence associated with quartiles of cumulative systolic blood pressure (SBP) and diastolic blood pressure (DBP) were calculated.
RESULTS:
Of the 2429 participants, 42.9% (1042) were men, and the mean age in 2007 was 62.1 ± 7.9 years. Totally, 207 CVD events occurred during the follow-up from 2007 to 2018. Participants with higher levels of cumulative SBP or DBP exhibited a higher incidence rate of CVD (P < 0.001). Compared with the lowest quartile of cumulative SBP, the HR for CVD was 1.03 (95% confidence interval [CI]: 0.59-1.81), 1.69 (95% CI: 0.99-2.87), and 2.20 (95% CI: 1.21-3.98) for the second to the fourth quartile of cumulative SBP, and 1.46 (95% CI: 0.86-2.48), 1.99 (95% CI: 1.18-3.35), and 2.08 (95% CI: 1.17-3.71) for the second to the fourth quartile of cumulative DBP, respectively. In further cross-combined group analyses with BP measurements in 2007, 15-year cumulative BP levels higher than the median, that is, 1970.8/1239.9 mmHg·year for cumulative SBP/DBP, which were equivalent to maintaining SBP/DBP levels of 131/83 mmHg or above on average in 15 years, were associated with higher risk of CVD in subsequent years independent of BP measurements at one-time point.
CONCLUSION
Cumulative exposure to moderate elevation of BP is independently associated with increased future cardiovascular risk.
Aged
;
Asian Continental Ancestry Group
;
Blood Pressure/physiology*
;
Cardiovascular Diseases/etiology*
;
China/epidemiology*
;
Cohort Studies
;
Humans
;
Hypertension/epidemiology*
;
Incidence
;
Male
;
Middle Aged
;
Risk Factors
10.Genome-wide long non-coding RNA association study on Han Chinese women identifies lncHSAT164 as a novel susceptibility gene for breast cancer.
Jing-Kai XU ; Guo-Zheng LI ; Zhi LI ; Wen-Jing LI ; Run-Sheng CHEN ; Bo ZHANG ; Xue-Jun ZHANG
Chinese Medical Journal 2021;134(10):1138-1145
BACKGROUND:
Single-nucleotide polymorphisms (SNPs)-associated genes and long non-coding RNAs (lncRNAs) can contribute to human disease. To comprehensively investigate the contribution of lncRNAs to breast cancer, we performed the first genome-wide lncRNA association study on Han Chinese women.
METHODS:
We designed an lncRNA array containing >800,000 SNPs, which was incorporated into a 96-array plate by Affymetrix (CapitalBio Technology, China). Subsequently, we performed a two-stage genome-wide lncRNA association study on Han Chinese women covering 11,942 individuals (5634 breast cancer patients and 6308 healthy controls). Additionally, in vitro gain or loss of function strategies were performed to clarify the function of a novel SNP-associated gene.
RESULTS:
We identified a novel breast cancer-associated susceptibility SNP, rs11066150 (Pmeta = 2.34 × 10-8), and a previously reported SNP, rs9397435 (Pmeta = 4.32 × 10-38), in Han Chinese women. rs11066150 is located in NONHSAT164009.1 (lncHSAT164), which is highly expressed in breast cancer tissues and cell lines. lncHSAT164 overexpression promoted colony formation, whereas lncHSAT164 knockdown promoted cell apoptosis and reduced colony formation by regulating the cell cycle.
CONCLUSIONS
Based on our lncRNA array, we identified a novel breast cancer-associated lncRNA and found that lncHSAT164 may contribute to breast cancer by regulating the cell cycle. These findings suggest a potential therapeutic target in breast cancer.
Asian Continental Ancestry Group/genetics*
;
Breast Neoplasms/genetics*
;
Case-Control Studies
;
China
;
Female
;
Genetic Predisposition to Disease/genetics*
;
Genome-Wide Association Study
;
Humans
;
Polymorphism, Single Nucleotide/genetics*
;
RNA, Long Noncoding/genetics*

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