Yiqing Song

Dr. Yiqing Song

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 July 2015 in Journal of the American Heart Association
Verified
Journal Article
Open access
PDF file
XLXiaochen Lin
Xiaochen Lin
XZXi Zhang
Xi Zhang
JGJianjun Guo
Jianjun Guo
CRChristian K. Roberts
Christian K. Roberts
SMSteve McKenzie
Steve McKenzie
YSYiqing Song
Yiqing Song
Background: Guidelines recommend exercise for cardiovascular health, although evidence from trials linking exercise to cardiovascular health through intermediate biomarkers remains inconsistent. We performed a meta‐analysis of randomized controlled trials to quantify the impact of exercise on cardiorespiratory fitness and a variety of conventional and novel cardiometabolic biomarkers in adults without cardiovascular disease. Methods and Results: Two researchers selected 160 randomized controlled trials (7487 participants) based on literature searches of Medline, Embase, and Cochrane Central (January 1965 to March 2014). Data were extracted using a standardized protocol. A random‐effects meta‐analysis and systematic review was conducted to evaluate the effects of exercise interventions on cardiorespiratory fitness and circulating biomarkers. Exercise significantly raised absolute and relative cardiorespiratory fitness. Lipid profiles were improved in exercise groups, with lower levels of triglycerides and higher levels of high‐density lipoprotein cholesterol and apolipoprotein A1. Lower levels of fasting insulin, homeostatic model assessment–insulin resistance, and glycosylated hemoglobin A1c were found in exercise groups. Compared with controls, exercise groups had higher levels of interleukin‐18 and lower levels of leptin, fibrinogen, and angiotensin II. In addition, we found that the exercise effects were modified by age, sex, and health status such that people aged <50 years, men, and people with type 2 diabetes, hypertension, dyslipidemia, or metabolic syndrome appeared to benefit more. Conclusions: This meta‐analysis showed that exercise significantly improved cardiorespiratory fitness and some cardiometabolic biomarkers. The effects of exercise were modified by age, sex, and health status. Findings from this study have significant implications for future design of targeted lifestyle interventions.

1 March 2018 in Medicine & Science in Sports & Exercise
Verified
Journal Article
Closed access
RLRan Li
Ran Li
JXJin Xia
Jin Xia
XZXi Zhang
Xi Zhang
WGWambui Grace Gathirua-Mwangi
Wambui Grace Gathirua-Mwangi
JGJianjun Guo
Jianjun Guo
YSYiqing Song
Yiqing Song
Vidual and joint associations of low muscle mass and low muscle strength with all-cause mortality in a nationally representative sample. This study included 4449 participants age 50 yr and older from the National Health and Nutrition Examination Survey 1999 to 2002 with public use 2011 linked mortality files. Weighted multivariable logistic regression models were adjusted for age, sex, race, body mass index (BMI), smoking, alcohol use, education, leisure time physical activity, sedentary time, and comorbid diseases. Results Overall, the prevalence of low muscle mass was 23.1% defined by appendicular lean mass (ALM) and 17.0% defined by ALM/BMI, and the prevalence of low muscle strength was 19.4%. In the joint analyses, all-cause mortality was significantly higher among individuals with low muscle strength, whether they had low muscle mass (odds ratio [OR], 2.03; 95% confidence interval [CI], 1.27–3.24 for ALM; OR, 2.53; 95% CI, 1.64–3.88 for ALM/BMI) or not (OR, 2.66; 95% CI, 1.53–4.62 for ALM; OR, 2.17; 95% CI, 1.29–3.64 for ALM/BMI). In addition, the significant associations between low muscle strength and all-cause mortality persisted across different levels of metabolic syndrome, sedentary time, and LTPA. Conclusions Low muscle strength was independently associated with elevated risk of all-cause mortality, regardless of muscle mass, metabolic syndrome, sedentary time, or LTPA among US older adults, indicating the importance of muscle strength in predicting aging-related health outcomes in older adults....

1 August 2016 in Hypertension
Verified
Journal Article
Open access
PDF file
XZXi Zhang
Xi Zhang
YLYufeng Li
Yufeng Li
LGLiana C. Del Gobbo
Liana C. Del Gobbo
ARAndrea Rosanoff
Andrea Rosanoff
JWJiawei Wang
Jiawei Wang
YSYiqing Song
Yiqing Song
The antihypertensive effect of magnesium (Mg) supplementation remains controversial. We aimed to quantify the effect of oral Mg supplementation on blood pressure (BP) by synthesizing available evidence from randomized, double-blind, placebo-controlled trials. We searched trials of Mg supplementation on normotensive and hypertensive adults published up to February 1, 2016 from MEDLINE and EMBASE databases; 34 trials involving 2028 participants were eligible for this meta-analysis. Weighted mean differences of changes in BP and serum Mg were calculated by random-effects meta-analysis. Mg supplementation at a median dose of 368 mg/d for a median duration of 3 months significantly reduced systolic BP by 2.00 mm Hg (95% confidence interval, 0.43–3.58) and diastolic BP by 1.78 mm Hg (95% confidence interval, 0.73–2.82); these reductions were accompanied by 0.05 mmol/L (95% confidence interval, 0.03, 0.07) elevation of serum Mg compared with placebo. Using a restricted cubic spline curve, we found that Mg supplementation with a dose of 300 mg/d or duration of 1 month is sufficient to elevate serum Mg and reduce BP; and serum Mg was negatively associated with diastolic BP but not systolic BP (all P <0.05). In the stratified analyses, a greater reduction in BP tended to be found in trials with high quality or low dropout rate (all P values for interaction <0.05). However, residual heterogeneity may still exist after considering these possible factors. Our findings indicate a causal effect of Mg supplementation on lowering BPs in adults. Further well-designed trials are warranted to validate the BP-lowering efficacy of optimal Mg treatment.

19 July 2017 in Diabetologia
Verified
Journal Article
Closed access
PDF file
HTHuilin Tang
Huilin Tang
QDQi Dai
Qi Dai
WSWeilong Shi
Weilong Shi
SZSuodi Zhai
Suodi Zhai
YSYiqing Song
Yiqing Song
JHJiali Han
Jiali Han

FQFei Qin
Fei Qin
YSYiqing Song
Yiqing Song
GNGeorge Nassis
George Nassis
LZLina Zhao
Lina Zhao
YDYanan Dong
Yanan Dong
Jiexiu ZhaoJiexiu Zhao
Jiexiu Zhao
We aimed to evaluate the effects of the COVID-19 lock down on lifestyle in China during the initial stage of the pandemic. A questionnaire was distributed to Chinese adults living in 31 provinces of China via the internet using a snowball sampling strategy. Information on 7-day physical activity recall, screen time, and emotional state were collected between January 24 and February 2, 2020. ANOVA, χ² test, and Spearman’s correlation coefficients were used for statistical analysis. 12,107 participants aged 18–80 years were included. During the initial phase of the COVID-19 outbreak, nearly 60% of Chinese adults had inadequate physical activity (95% CI 56.6%–58.3%), which was more than twice the global prevalence (27.5%, 25.0%–32.2%). Their mean screen time was more than 4 hours per day while staying at home (261.3 ± 189.8 min per day), and the longest screen time was found in young adults (305.6 ± 217.5 min per day). We found a positive and significant correlation between provincial proportions of confirmed COVID-19 cases and negative affect scores (r = 0.501, p = 0.004). Individuals with vigorous physical activity appeared to have a better emotional state and less screen time than those with light physical activity. During this nationwide lockdown, more than half of Chinese adults temporarily adopted a sedentary lifestyle with insufficient physical activity, more screen time, and poor emotional state, which may carry considerable health risks. Promotion of home-based self-exercise can potentially help improve health and wellness.

15 August 2016 in Diabetes, Obesity and Metabolism
Verified
Journal Article
Closed access
PDF file
HTH. L. Tang
H. L. Tang
DLD. D. Li
D. D. Li
JZJ. J. Zhang
J. J. Zhang
YHY. H. Hsu
Y. H. Hsu
TWT. S. Wang
T. S. Wang
YSYiqing Song
Yiqing Song