scholarly journals The Effect of Different Traditional Chinese Exercises on Blood Lipid in Middle-Aged and Elderly Individuals: A Systematic Review and Network Meta-Analysis

Life ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 714
Author(s):  
Yanan Gao ◽  
Lei Yu ◽  
Xiaohan Li ◽  
Chen Yang ◽  
Aiwen Wang ◽  
...  
Keyword(s):  
Blood Lipids ◽  
Exercise Intervention ◽  
Meta Analysis ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipoprotein Cholesterol ◽  
Cumulative Probability ◽  
Middle Aged ◽  
Elderly Individuals ◽  
The Impact

Although the impact of physical exercise on blood lipids is well documented, less information is available regarding the effect of traditional Chinese exercises (TCEs), and it is unclear what the best TCE treatment for dyslipidemia in middle-aged and elderly individuals is. The aim of this study was to systematically assess the effects of TCEs (Taijiquan, TJQ; Wuqinxi, WQX; Baduanjin, BDJ; Liuzijue, LZJ; Yijinjing, YJJ; Dawu, DW) on blood lipids in middle-aged and elderly individuals. Chinese and English databases were searched, including PubMed, China National Knowledge Infrastructure, Wanfang Database, Chongqing VIP, and Web of Science. A total of 42 randomized controlled trials (RCTs) including 2977 subjects were analyzed. Outcome indicators include total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triacylglyceride (TAG), and high-density lipoprotein cholesterol (HDL-C). Summary mean differences (MD) were calculated using pairwise and network meta-analysis with a random-effects model. The results of this study showed that compared to non-exercise intervention (NEI), all six kinds of TCE treatment had some kind of influence on blood lipid indicators, among which WQX and TJQ could improve all four blood lipid indicators, whereas BDJ was effective on three indicators but not on TC. The results of cumulative probability ranking showed that WQX (84.9%, 73.8%, 63.4%, 63.1% to TC, TAG, HDL-C, LDL-C, respectively) was at the top spot being the best intervention, followed by BDJ (55.6%, 83.7%, 68.4%, 56.1%) and TJQ (73.7%, 47.6%, 63.1%, 54.1%). The network meta-analysis of RCTs demonstrates that WQX may be the best TCE treatment for dyslipidemia in middle-aged and elderly individuals.

scholarly journals The Temporal Relationship Between Sleep Duration and Blood Lipids in Chinese Middle-aged and Elderly Individuals: Evidence From CHARLS

2021 ◽  
Author(s):  
Yilei Ma ◽  
Ziwei Chen ◽  
Yanran Duan ◽  
Tingting Mo ◽  
Wenli Liu ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Temporal Relationship ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density Lipoprotein Cholesterol ◽  
Middle Aged ◽  
Elderly Individuals ◽  
Path Coefficients

Abstract Background: To explore the temporal relationship between blood lipids and sleep duration and clarify their potential causality in Chinese middle-aged and elderly individuals.Methods: We used medical examinations and questionnaire data of 5016 Chinese middle-aged and elderly individuals in 2011 and 2015. Cross-lagged path analysis was performed to examine the potential bidirectional relationships between blood lipids and sleep duration.Results: In total population, significant bidirectional relationship was observed between sleep duration and high-density lipoprotein cholesterol level and the path coefficients were -0.171 (P = 0.005) and -0.006 (P = 0.002). In contrast, there was a positive correlation between and sleep duration, and the path coefficient from triglycerides to sleep duration 4 year later (O = 0.001, P = 0.018) was greater than that from sleep duration to triglycerides 4 year later (b = 0.109, P = 0.847), with P = 0.030 for the difference between j and e. Longer sleep duration was associated lower levels of low-density lipoprotein cholesterol (c = -0.275, P = 0.097) and total cholesterol (t = -0.329, P = 0.096) 4 year later. In stratified analysis, effects of sleep duration on blood lipids were only observed among individuals aged < 60 years, while the effect in the opposite direction was observed in elderly individuals, and the cross-lagged path coefficients were more significant in adults with BMI > 25.Conclusions: Temporal relationships between sleep duration and high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, and triglycerides were different. The strength and direction of the relationships may be related to age and BMI.

scholarly journals Optimal cut-off points after a daily meal corresponding to fasting goal levels of LDL-C and non-HDL-C in Chinese patients with coronary heart disease

2020 ◽  
Author(s):  
Li-Ling Guo ◽  
Yan-qiao Chen ◽  
Qiu-zhen Lin ◽  
Feng Tian ◽  
Qun-Yan Xiang ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipoprotein Cholesterol ◽  
Chinese Patients ◽  
C Statistic ◽  
Blood Lipid Levels

Abstract Background: Although the detection of non-fasting blood lipids has been recommended in patients with coronary heart disease (CHD), the non-fasting cut-off points corresponding to the fasting goals of LDL-C < 1.8 mmol/Land non-HDL-C < 2.6 mmol/L, respectively, have not been explored. Methods: This study enrolled 397 inpatients with CHD. One hundred and ninety-seven patients took statins for < 1 month (m) or did not take any statin before admission (i.e. CHD1 group), while 204 patients took statins for ≥ 1 m before admission (i.e. CHD2 group). Blood lipid levels were measured at 0 h, 2 h, and 4 h after a daily breakfast. Results: Non-fasting low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels significantly decreased after a daily meal ( P < 0.05). Both fasting and non-fasting LDL-C or non-HDL-C levels were significantly lower in the CHD2 group. The percent attainment of LDL-C < 1.8 mmol/L at 2 h or 4 h after a daily breakfast was significantly higher than that of its fasting point ( P < 0.05), whereas that of non-HDL-C < 2.6 mmol/L was significantly higher only at 4 h ( P < 0.05). Analysis of c-statistic showed that non-fasting cut-off points for LDL-C and non-HDL-C were 1.5 mmol/L and 2.4 mmol/L, corresponding to their fasting goal levels of 1.8 mmol/L and 2.6 mmol/L, respectively. When postprandial LDL-C and non-HDL-C goal attainments were re-evaluated by non-fasting cut-off points, there were no significant differences in percent attainment between fasting and non-fasting states. Conclusions: Determination ofnon-fasting cut-off points is important to evaluate the efficacy of cholesterol-lowering therapy if blood lipids are detected after a daily meal.

scholarly journals Comparison Between Fasting and Non-Fasting Cut-Off Values of Triglyceride in Diagnosing High Triglyceride in Chinese Hypertensive Outpatients

2021 ◽  
Author(s):  
Yingying Xie ◽  
Peiliu Qu ◽  
Tie Wen ◽  
Ling Liu ◽  
Xiao Du ◽  
...  
Keyword(s):  
Blood Lipids ◽  
Statistical Significance ◽  
Low Density Lipoprotein ◽  
Venous Blood ◽  
Density Lipoprotein ◽  
Direct Methods ◽  
Blood Lipid ◽  
Serum Levels ◽  
Lipoprotein Cholesterol ◽  
Fasting State

Abstract Background: Hypertension (HBP) often occurs together with hypertriglyceridemia that indicates elevated triglyceride (TG) and remnant cholesterol (RC) levels. Non-fasting (i.e. postprandial) blood lipid test after a daily meal has been recommended by the European Atherosclerosis Society (EAS). However, little is known about the difference between fasting and non-fasting cut-off values in assessing high TG (HTG) and high RC (HRC) in HBP outpatients.Methods: Two hundred and twenty-five Chinese outpatients with HBP were enrolled in this study. According to the time of blood lipid test, they were divided into two groups, i.e. the fasting group (n=119) and the non-fasting group (n=139). Non-fasting levels of blood lipids at 2 h after a daily breakfast were also tested in 33 patients among the fasting group. Venous blood samples were collected. Serum levels of blood lipids were measured by the enzymatic and direct methods on a HITACHI 7170A analyzer or estimated via related formulas. Results: The non-fasting group had significantly higher levels of TG and RC while lower levels of total cholesterol, low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol than the fasting group (P＜0.05). According to TG and RC cut-off values of the EAS, the percentages of HTG and HRC in the non-fasting group were 67.6% and 65.6%, respectively, while those in the fasting group were 57.1% and 52.9%, respectively. However, the percentages of HTG in the fasting state and at 2 h after a daily breakfast in 33 outpatients did not reach statistical significance (57.6% v.s. 51.5%). So did the fasting and at 2 h non-fasting percentages of HRC in them.Conclusion: Non-fasting blood lipid test could find more HBP outpatients with HTG in Chinese outpatients with HBP. However, the percentage of HTG at 2h after a daily breakfast seemed to be close to that in the fasting state.

Abstract 141: APOA1, CETP, and CILP2 Variants Modify the Lipid Response to Fenofibrate: Genetics of Lipid Lowering and Diet Network

2012 ◽  
Vol 32 (suppl_1) ◽  
Author(s):  
Stella Aslibekyan ◽  
Marguerite M Irvin ◽  
Alexis C Frazier-Wood ◽  
Robert J Straka ◽  
Ingrid B Borecki ◽  
...  
Keyword(s):  
Blood Lipids ◽  
Association Studies ◽  
Meta Analysis ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Lipid Lowering ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Lipid Response ◽  
Induced Changes

Introduction: Despite the widespread use of fibrates in treatment of dyslipidemia, the observed response is highly heterogeneous, suggesting a role for genetic determinants. Whether replicated variants associated with blood lipids identified by genome wide association studies (GWAS) are also associated with lipid response to fenofibrate is unknown. Objectives: To test if 95 genome-wide significant loci identified in a recent meta-analysis of blood lipids are associated with changes in high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-HDL-C, and triglycerides (TG) following 3 weeks of therapy with 160 mg of micronized fenofibrate. Methods: Using data from 861 European American Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) participants, we fit mixed linear models with baseline blood lipids and the post-to-pre fenofibrate treatment ratio of blood lipid levels as outcomes, the corresponding genetic markers from the published meta-analysis as predictors, and age, sex, pedigree, and ancestry as assessed by principal components as covariates. A Bonferroni correction was applied to adjust for multiple comparisons. Least square means were used to report the direction of fenofibrate-induced changes by genotype. Results: We observed statistically significant associations between rs964184 , a variant near the APOA1 gene, and baseline HDL-C (P<0.0001) and baseline TG (P<0.0001), as well as with diminished response to fenofibrate as evidenced by a smaller increase in HDL-C (P<0.0001) and a smaller decrease in TG (P=0.0001) per each copy of the variant allele. Additionally, we report suggestive associations of rs3764261 locus in the CETP gene and the rs10401969 locus in the CILP2 gene with decreased fenofibrate response as measured by changes in LDL-C (P=0.0003 and 0.02, respectively) and non-HDL-C (P=0.004 and 0.005, respectively). Conclusions: We have identified several novel biologically relevant loci associated with baseline blood lipids and fenofibrate-induced changes in blood lipids.

Abstract P124: Network Meta-analysis of the Effects of Breast Cancer Hormone Therapy on Changes in Lipid Profiles

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Hsin-Hui Huang ◽  
Emma Barinas-Mitchell ◽  
Brenda Diergaarde ◽  
Chung-Chou Chang ◽  
Marnie Bertolet
Keyword(s):  
Breast Cancer ◽  
Hormone Therapy ◽  
Randomized Clinical Trials ◽  
Early Stage ◽  
Meta Analysis ◽  
Random Effect Model ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Adjuvant Hormone Therapy ◽  
The Impact

Introduction: Adjuvant hormone therapy prolongs survival of patients with early-stage hormone receptor-positive breast cancer (BC). For postmenopausal patients, aromatase inhibitors (AIs) have been shown to improve disease free survival compared to tamoxifen, but the impact on overall survival has been inconsistent. A meta-analysis showed higher risk of cardiovascular diseases (CVDs) for patients taking AIs. Deteriorating lipids induced by AIs may contribute to this result. This analysis aims to compare the effects of hormone therapeutic options on changes in lipids from published randomized clinical trials (RCTs). Methods: RCTs evaluating effects of adjuvant hormone therapy on lipids (total cholesterol, high-density lipoprotein cholesterol (HDLc), low density lipoprotein cholesterol (LDLc), and/or triglycerides) in postmenopausal early-stage BC patients published in PubMed and Embase, prior to Jan. 31, 2016 were reviewed. Bayesian network meta-analysis was used to compare effects of placebo, selective estrogen receptor modulators (SERMs- tamoxifen and toremifene) and AIs (letrozole, anastrozole, and exemstane) on lipids across longitudinal time points. Heterogeneity was examined by meta-regressions adjusting for mean age, baseline lipid value, and prior tamoxifen use. An arm-based random effect model tested the consistency of the direct and indirect evidence of the drug effects. Results: We identified 17 articles from 13 RCTs for a total of 1,913 subjects. The Table summarizes the results, with statistically significant results bolded. Toremifene significantly improved all lipids and was the best choice regardless of covariate adjustment, while tamoxifen had weaker but significant LDLc lowering but opposite HDLc/triglyceride effects to toremifene. AIs generally had little effect on lipids. Conclusions: In general, AIs tend to have worse effects on lipids than SERMs, while only toremifene had beneficial effects on all lipid values. Patients on AIs with high risk of CVD should monitor their lipids.

scholarly journals Biphasic Regulation of Lipid Metabolism: A Meta-Analysis of Icodextrin in Peritoneal Dialysis

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yan-Feng Huang ◽  
Da-Jian Zhu ◽  
Xiao-Wu Chen ◽  
Man-Zhao Ouyang ◽  
Wei-Jie Zhang
Keyword(s):  
Lipid Metabolism ◽  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Biomedical Literature ◽  
Lipoprotein Cholesterol ◽  
Cochrane Library ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
The Impact

Objectives. The objective of this systematic meta-analysis was to study the impact of icodextrin (ICO) on lipid profiles.Methods. MEDLINE, PubMed, Embase, Chinese Biomedical Literature, and the Cochrane Library and Reference lists were searched (last search September 2014) in accordance with the Cochrane Handbook for Systematic Reviews of Interventions.Results. Searches identified 13 eligible trials with a total of 850 patients. The differentials of total cholesterol (TC) and free fatty acid (FFA) in the ICO group were greater than those in the GLU group. Metaregression analysis showed that TC levels positively correlated with its baseline levels. In the subgroup of patients with dialysis duration more than 6 months, TC and TG in the ICO group were less. In pooled data from cross-sectional studies, differential of TG in the ICO group was less. In the subgroup of patients with diabetes (Martikainen et al., 2005, Sniderman et al., 2014, and Takatori et al., 2011), differential of high-density lipoprotein cholesterol (HDL-C) in the ICO group was less. There was no significant effect on low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), or lipoprotein(a).Conclusions. ICO may be beneficial to lipid metabolism, especially for its biphasic regulation of plasma TC levels.

scholarly journals The Effect of Vitamin D Supplementation on Blood Lipids in Patients with Polycystic Ovary Syndrome: A Meta-Analysis of Randomized Controlled Trials

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hong Gao ◽  
YanTao Li ◽  
WenNan Yan ◽  
Fei Gao
Keyword(s):  
Vitamin D ◽  
Polycystic Ovary Syndrome ◽  
Cholesterol Level ◽  
Blood Lipids ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Density Lipoprotein ◽  
Vitamin D Supplementation ◽  
Lipoprotein Cholesterol ◽  
Ovary Syndrome

Purpose. Studies have found that vitamin D supplementation may improve blood lipids in patients with polycystic ovary syndrome, but the results are controversial, so this study will further analyze the effect of vitamin D supplementation on blood lipids in patients with polycystic ovary syndrome. Methods. PubMed, Embase, Cochrane Library, CNKI, and Wanfang databases were searched up to May 2020, to identify randomized controlled trials of the effect of vitamin D supplementation on blood lipids in patients with polycystic ovary syndrome. The Cochrane risk of bias tool was applied to assess the risk of bias, and RevMan5.3 software was used for statistical analysis. Results. Ten studies were included in this study, including 543 subjects. The results of the meta-analysis showed that, compared with placebo, vitamin D supplementation can significantly reduce total cholesterol level (WMD = –11.32, 95% CI = [–14.51, –8.41], P < 0.00001 ), low-density lipoprotein cholesterol level (WMD = –4.83, 95% CI = [–7.52, –2.14], P = 0.0004 ), and triglyceride level (WMD = –8.23, 95% CI = [–13.08, –3.38], P = 0.0009 , but the effect on high-density lipoprotein cholesterol level is not statistically significant (WMD = –0.32, 95%CI = [–1.24, 0.60], P = 0.50 ). Conclusion. Vitamin D supplementation can significantly reduce total cholesterol, low-density lipoprotein cholesterol, and triglycerides in patients with polycystic ovary syndrome. However, it has no significant effect on high-density lipoprotein cholesterol.

scholarly journals The interaction between serum uric acid and triglycerides level on blood The interaction between serum uric acid and triglycerides level on blood pressure in middle-aged and elderly individuals in China: result from a large national cohort study

2020 ◽  
Author(s):  
Lin Zhang ◽  
Jin-long Li ◽  
Lei-lei Guo ◽  
Hong Li ◽  
Dan Li ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Uric Acid ◽  
Linear Regression ◽  
Serum Uric Acid ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Confounding Factors ◽  
Middle Aged ◽  
Elderly Individuals

Abstract Background: The purpose of the research was to explore the extent of interaction between triglycerides (TG) and serum uric acid (SUA) level with blood pressure (BP) in middle-aged and elderly individuals in China. Methods: Data were selected from the China Health and Retirement Longitudinal Study (CHARLS), a cross-sectional study. 3345(46.99%) men with average ages of 60.24 ± 9.24 years and 3774 (53.01%) women with average ages of 59.91 ± 9.95 years were included in the study. Differences between gender, or between categories of blood pressure levels were evaluated by t-test or chi-square test. The adjusted associations between various characteristics and BP status were first compared using linear regression models, as appropriate. Then, A general linear model adjusted for confounding factors(socio-demographic characteristics, health behaviors , medical history) metabolic measures [C-reactive protein(CRP), hemoglobin A1c (HbA1c), fasting plasma glucose(FPG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), estimated glomerular filtration rate(eGFR), body mass index(BMI)]) was used to examine the synergistic effect of SUA and TG level on BP in middle-aged and elderly individuals in China. Results: Age-adjusted partial Pearson’s correlation coefficient showed that SUA and TG level positively correlated with both systolic blood pressure (SBP) and diastolic blood pressure (DBP) in both men and women. Multiple linear regression analysis showed the TG level was significantly and positively associated with SBP and DBP in both men (SBP: β =0.068, P =0.001; DBP: β =0.064, P=0.002) and women (SBP: β =0.061, P =0.002; DBP: β =0.084, P=0.000), but SUA were significantly and positively associated with SBP in both men (SBP: β =0.047, P =0.013) and women (SBP: β =0.040, P =0.028), regardless of other confounding factors. After adjusting for related potential confounders, evidence of interaction between SUA and TG level on SBP (men: β =-1.090, P =0.726; women: β =-0.692, P=0.861) and DBP (men: β=-1.026, P =0.572; women: β =-0.794, P =0.842) was not observed. Conclusion: The interaction effect of SUA and TG level on BP was not observed in our study. Moreover, high SUA level was significantly associated with DBP, while high TG level was strongly related to both DBP and SBP.

scholarly journals Association between serum lipids and breast cancer risk in premenopausal women: systematic review and meta-analysis

2021 ◽  
Vol 49 (11) ◽  
pp. 030006052110610
Author(s):  
Jing Wu ◽  
Xun Lei ◽  
Xianjun Pan ◽  
Xiaohua Zeng ◽  
Wei Li
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Publication Bias ◽  
Serum Lipids ◽  
Meta Analysis ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Premenopausal Breast Cancer ◽  
The Impact

Objective Associations between serum lipids and their individual components with premenopausal breast cancer risk are unclear. This meta-analysis summarized the literature on serum lipids and premenopausal breast cancer risk to elucidate their relationship. Methods Eligible studies were identified by searching the PubMed, Embase, China National Knowledge Infrastructure, and Wanfang databases until 31 December 2020. Standardized mean difference (SMD) scores with 95% confidence intervals (95%CIs) were used to assess the impact of serum lipids on premenopausal breast cancer risk. The I2 statistic was calculated to measure the percentage of heterogeneity, and Egger’s test was performed to measure publication bias. Results Thirteen studies were included. The SMD scores of triglycerides (TG) and low-density lipoprotein cholesterol (LDL-C) were 12.90 (95%CI: 7.19–18.61) and 31.43 (95%CI: 8.72–54.15), respectively. The SMD scores of total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) were not significantly different between the groups. The included studies were highly heterogeneous. There were no publication biases found in TC, LDL-C, or HDL-C analyses, whereas publication bias was present in the TG analysis. Conclusions TG and LDL-C were higher in premenopausal breast cancer patients than in women without breast cancer. However, no significant differences were found in TC or HDL-C levels.

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