scholarly journals Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: The China Multi-Ethnic Cohort (CMEC) Study

2021 ◽  
Author(s):  
Xiao Zhang ◽  
Feng Hong ◽  
Zixiu Qin ◽  
Leilei Liu ◽  
Jun Yang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Heart Rate ◽  
Dose Response ◽  
Southwest China ◽  
Positive Association ◽  
Metabolic Risk ◽  
Resting Heart Rate ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Restricted Cubic Splines

Abstract Background High resting heart rate (RHR), one abnormal manifestation of autonomic nervous system, was associated with metabolic disorders. However, the association between RHR and metabolic syndrome (MetS) and its components remains controversial. This study aimed to explore the link between RHR and MetS and its components. Methods The study included 6,589 Dong adults (1,434 patients) from the China Multi-Ethnic Cohort (CMEC) Study. Logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) and assess the association between RHR and MetS, clustered metabolic risk, and MetS components. Restricted cubic splines model was used to evaluate the dose–response relationship between RHR and MetS and its components. Results A positive association existed between RHR and MetS, and people in the highest RHR quartile had a higher MetS risk (OR 1.75 [95% CI 1.42–2.15]) than those in the lowest quartile. The clustered metabolic risk associated with RHR (P < 0.05). Furthermore, RHR was related to elevated blood pressure (BP), elevated triglycerides (TG), and elevated fasting plasma glucose (FPG), the ORs (95% CIs) for the highest versus lowest RHR quartile were 2.06 (1.75–2.43), 1.37 (1.17–1.62), and 2.53 (2.04–3.14), respectively. Similar results were found in sensitivity and subgroup analyses. Also, non-linear dose-response relationship existed between RHR and MetS and elevated levels of BP, TG, and FPG (P < 0.001). Conclusions RHR was related to the risk of MetS and three MetS components (elevated BP, elevated TG, and elevated FPG). RHR may be a useful indicator for MetS.

scholarly journals Dose-response relationship between very vigorous physical activity and cardiovascular health assessed by heart rate variability in adults: Cross-sectional results from the EPIMOV study

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210216 ◽  
Author(s):  
Thiago Luís Wanderley de Sousa ◽  
Thatiane Lopes Valentim di Paschoale Ostoli ◽  
Evandro Fornias Sperandio ◽  
Rodolfo Leite Arantes ◽  
Antônio Ricardo de Toledo Gagliardi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Dose Response ◽  
Cardiovascular Health ◽  
Vigorous Physical Activity ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Cross Sectional

Resting heart rate and risk of metabolic syndrome in adults: a dose–response meta-analysis of observational studies

2016 ◽  
Vol 54 (3) ◽  
pp. 223-235 ◽  
Author(s):  
Xuejiao Liu ◽  
Xinping Luo ◽  
Yu Liu ◽  
Xizhuo Sun ◽  
Chengyi Han ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Heart Rate ◽  
Dose Response ◽  
Observational Studies ◽  
Meta Analysis ◽  
Resting Heart Rate

scholarly journals Association between physical activity and kidney stones based on dose–response analyses using restricted cubic splines

2020 ◽  
Vol 30 (6) ◽  
pp. 1206-1211
Author(s):  
Xiaojie Feng ◽  
Wentao Wu ◽  
Fanfan Zhao ◽  
Fengshuo Xu ◽  
Didi Han ◽  
...  
Keyword(s):  
Physical Activity ◽  
Dose Response ◽  
Kidney Stones ◽  
Cubic Splines ◽  
Activity Level ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Health And Nutrition ◽  
Metabolic Equivalents ◽  
Restricted Cubic Splines

Abstract Background This study aimed to determine whether there is a dose–response relationship between physical activity and the self-reported prevalence of kidney stone, based on a restricted cubic splines (RCS) method. Methods This study analyzed 8931 adults aged ≥20 years who had participated in the National Health and Nutrition Examination Survey (NHANES) during 2013–16. Kidney stones and physical activity were defined using a standard questionnaire, and metabolic equivalents (MET) were used to quantify the physical activity level. Logistic regression was used to assess the association between physical activity and the risk of kidney stones, and the dose–response relationship was explored using RCS. Results Kidney stones were present in 10.3% of the analyzed individuals: 11.5% of males and 9.2% of females. After adjusting for potential confounders, compared with the first quartile (Q1) of MET, the odds ratios (ORs) of kidney stones for those with Q2, Q3 and Q4 of MET were 0.72 [95% confidence interval (CI)=0.59–0.87], 0.77 (95% CI = 0.63–0.93) and 0.63 (95% CI = 0.51–0.78), respectively (all P &lt; 0.01). The RCS regression showed that physical activity was related to kidney stones in a non-linear manner (P for non-linearity = 0.0100). The prevalence of kidney stones decreasing as physical activity increased, reaching a plateau for physical activity at approximately 2480 MET-min week−1 (OR = 0.75, 95% CI = 0.63–0.91). Conclusions Physical activity is inversely associated with the prevalence of kidney stones, and the dose–response relationship has a plateau, after which the prevalence of kidney stones does not change with the increase of physical activity.

scholarly journals Association between sarcopenia level and metabolic syndrome

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248856
Author(s):  
Su Hwan Kim ◽  
Ji Bong Jeong ◽  
Jinwoo Kang ◽  
Dong-Won Ahn ◽  
Ji Won Kim ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Muscle Mass ◽  
Dose Response ◽  
Skeletal Muscle Mass ◽  
Alcohol Intake ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Alcoholic Fatty Liver

Aims Metabolic syndrome (MetS) increases the risk of diabetes mellitus (DM), cardiovascular disease (CVD), cancer, and mortality. Sarcopenia has been reported as a risk factor for MetS, non-alcoholic fatty liver disease, and CVD. To date, the association between sarcopenia and MetS has been investigated. However, there have been few studies on the dose-response relationship between sarcopenia and MetS. We investigated the association between sarcopenia and the prevalence of MetS. We also aimed to analyze the dose-response relationship between skeletal muscle mass and the prevalence of MetS. Methods We enrolled 13,620 participants from October 2014 to December 2019. Skeletal muscle mass was measured using bioelectrical impedance analysis (BIA). Appendicular skeletal muscle mass (ASM) was divided by body weight (kg) and was expressed as a percentage (ASM x 100/Weight, ASM%). The quartiles of ASM% were calculated for each gender, with Q1 and Q4 being the lowest and highest quartiles of ASM%, respectively. The quartiles of ASM% were calculated for each gender, with Q1 and Q4 being the lowest and highest quartiles of ASM%, respectively. Linear regression and logistic regression analyses were used to compare the clinical parameters according to ASM%, adjusted for age, sex, obesity, hypertension (HT), DM, dyslipidemia (DL), smoking, alcohol intake, and C-reactive protein (CRP). Multiple logistic regression analysis was performed to determine the risk of MetS in each group. Results A dose-response relationship was identified between ASM% and MetS. Sarcopenia was associated with an increased prevalence of MetS. After adjustment for age, sex, obesity, HT, DM, DL, smoking, alcohol intake, and CRP, sarcopenia remained significantly associated with MetS. For each 1 quartile increment in ASM%, the risk of MetS decreased by 56% (P< 0.001). After adjusting for age, sex, obesity, HT, DM, DL, smoking, alcohol intake, and CRP, the risk of MetS decreased by 25% per 1Q increment in ASM% (P < 0.001). Conclusions Sarcopenia by BIA is independently associated with the risk of MetS and has a dose-response relationship.

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