scholarly journals Relationship between chronic periodontal condition and metabolic syndrome among community-dwelling elderly in Yogyakarta, Indonesia

2021 ◽  
Vol 17 (3) ◽  
pp. 190-190
Author(s):  
Elastria Widita ◽  
Lisdrianto Hanindriyo ◽  
Bambang Priyono ◽  
Iffah Mardiyah ◽  
Fimma Naritasari ◽  
...  
Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2275
Author(s):  
Razieh Hassannejad ◽  
Hamsa Sharrouf ◽  
Fahimeh Haghighatdoost ◽  
Ben Kirk ◽  
Farzad Amirabdollahian

Background: Metabolic Syndrome (MetS) is a cluster of risk factors for diabetes and cardiovascular diseases with pathophysiology strongly linked to aging. A range of circulatory metabolic biomarkers such as inflammatory adipokines have been associated with MetS; however, the diagnostic power of these markers as MetS risk correlates in elderly has yet to be elucidated. This cross-sectional study investigated the diagnostic power of circulatory metabolic biomarkers as MetS risk correlates in older adults. Methods: Hundred community dwelling older adults (mean age: 68.7 years) were recruited in a study, where their blood pressure, body composition and Pulse Wave Velocity (PWV) were measured; and their fasting capillary and venous blood were collected. The components of the MetS; and the serum concentrations of Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α), Plasminogen Activator Inhibitor-I (PAI-I), Leptin, Adiponectin, Resistin, Cystatin-C, C-Reactive Protein (CRP), insulin and ferritin were measured within the laboratory, and the HOMA1-IR and Atherogenic Index of Plasma (AIP) were calculated. Results: Apart from other markers which were related with some cardiometabolic (CM) risk, after Bonferroni correction insulin had significant association with all components of Mets and AIP. These associations also remained significant in multivariate regression. The multivariate odds ratio (OR with 95% confidence interval (CI)) showed a statistically significant association between IL-6 (OR: 1.32 (1.06–1.64)), TNF-α (OR: 1.37 (1.02–1.84)), Resistin (OR: 1.27 (1.04–1.54)) and CRP (OR: 1.29 (1.09–1.54)) with MetS risk; however, these associations were not found when the model was adjusted for age, dietary intake and adiposity. In unadjusted models, insulin was consistently statistically associated with at least two CM risk factors (OR: 1.33 (1.16–1.53)) and MetS risk (OR: 1.24 (1.12–1.37)) and in adjusted models it was found to be associated with at least two CM risk factors and MetS risk (OR: 1.87 (1.24–2.83) and OR: 1.25 (1.09–1.43)) respectively. Area under curve (AUC) for receiver operating characteristics (ROC) demonstrated a good discriminatory diagnostics power of insulin with AUC: 0.775 (0.683–0.866) and 0.785 by cross validation and bootstrapping samples for at least two CM risk factors and AUC: 0.773 (0.653–0.893) and 0.783 by cross validation and bootstrapping samples for MetS risk. This was superior to all other AUC reported from the ROC analysis of other biomarkers. Area under precision-recall curve for insulin was also superior to all other markers (0.839 and 0.586 for at least two CM risk factors and MetS, respectively). Conclusion: Fasting serum insulin concentration was statistically linked with MetS and its risk, and this link is stronger than all other biomarkers. Our ROC analysis confirmed the discriminatory diagnostic power of insulin as CM and MetS risk correlate in older adults.


Author(s):  
Shuangshuang Chen ◽  
Qingqing Wu ◽  
Li Zhu ◽  
Geng Zong ◽  
Huaixing Li ◽  
...  

ABSTRACT Background Animal studies have highlighted critical roles of glycerophospholipid (GP) metabolism in various metabolic syndrome (MetS)-related features such as dyslipidemia, obesity, and insulin resistance. However, human prospective studies of associations between circulating GPs and risks of MetS are scarce. Objectives We aimed to investigate whether GPs are associated with incidence of MetS in a well-established cohort. Methods A total of 1243 community-dwelling Chinese aged 50–70 y without MetS at baseline and followed up for 6 y were included in current analyses. A total of 145 plasma GPs were quantified by high-throughput targeted lipidomics. MetS was defined using the updated National Cholesterol Education Program Adult Treatment Panel III criteria for Asian Americans. Results After 6 y, 429 participants developed MetS. Eleven GPs, especially those with long-chain polyunsaturated fatty acids (LCPUFAs) or very-long-chain polyunsaturated fatty acids (VLCPUFAs) at the sn-2 position, including 1 phosphatidylcholine (PC) [PC(18:0/22:6)], 9 phosphatidylethanolamines (PEs) [PE(16:0/22:6), PE(18:0/14:0), PE(18:0/18:1), PE(18:0/18:2), PE(18:0/20:3), PE(18:0/22:5), PE(18:0/22:6), PE(18:1/22:6), and PE(18:2/22:6)], and 1 phosphatidylserine (PS) [PS(18:0/18:0)], were positively associated with incident MetS (RRs: 1.16–1.30 per SD change; Bonferroni-corrected P < 0.05). In network analysis, the strongest positive association for MetS incidence was evidenced in a module mainly composed of PEs containing C22:6 and PSs [RR: 1.21; 95% CI: 1.12, 1.31 per SD change; Bonferroni-corrected P < 0.05]. This association was more pronounced in participants with lower erythrocyte total n–3 PUFA concentrations [Bonferroni-corrected Pinter(P value for the interaction)< 0.05]. Conclusions Elevated plasma concentrations of GPs, especially PEs with LCPUFAs or VLCPUFAs at the sn-2 position, are associated with higher risk of incident MetS. Future studies are merited to confirm our findings.


2013 ◽  
Vol 7 (2) ◽  
pp. 90-96 ◽  
Author(s):  
Yi-Hsuan Lin ◽  
Hsiao-Ting Chang ◽  
Yen-Han Tseng ◽  
Ming-Hwai Lin ◽  
Yi-Chun Chen ◽  
...  

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Megan E Petrov ◽  
Alex J Zautra ◽  
Nicole Hoffmann ◽  
Mary C Davis

Introduction: Insomnia symptoms are associated with cardiovascular disease and multiple metabolic syndrome components, yet few studies have investigated their association with metabolic syndrome. Hypothesis: Insomnia symptoms will be significantly associated with prevalent metabolic syndrome. Methods: Middle-aged, community-dwelling adults, ages 40-65 yrs, were recruited to participate in a study on healthy aging. All participants completed questionnaires on demographics, medical history, and sleep patterns in the past month including estimated sleep-onset latency, frequency of difficulty falling asleep, and severity of difficulty falling asleep, difficulty maintaining sleep, and early morning awakenings. Measurements for metabolic syndrome were collected at a home health visit. All metabolic syndrome criteria consisting of waist circumference, triglyceride level, HDL cholesterol level, blood pressure, and fasting glucose were identified using the American Heart Association definitions. Participants with three or more positive criteria were considered to have metabolic syndrome. Of a total sample of 770 individuals, 557 participants who did not have a history of cardiovascular events (n = 62), and had complete sleep and metabolic syndrome data were included in the analysis. We conducted logistic regression models predicting presence of metabolic syndrome from the sleep measures adjusting for age, sex, race, education level, smoking status, alcohol consumption, moderate physical activity minutes per week, and current major depression diagnosis. Results: Metabolic syndrome was prevalent in 24.2% of the sample (n = 135). Sleep onset latency of greater than 30 minutes and difficulty falling asleep three or more nights per week were significantly related to metabolic syndrome, but no other insomnia symptoms were related (see Table). Conclusions: Difficulty falling asleep, a marker of physiological and emotional hyperarousal, may be a modifiable risk factor for metabolic syndrome.


2019 ◽  
Vol 13 (2) ◽  
pp. 1329-1334 ◽  
Author(s):  
Ryuichi Kawamoto ◽  
Asuka Kikuchi ◽  
Taichi Akase ◽  
Daisuke Ninomiya ◽  
Yoshihisa Kasai ◽  
...  

Author(s):  
Marcel Ballin ◽  
Peter Nordström ◽  
Anna Nordström

In this cross-sectional study, the authors investigated the associations of objectively measured physical activity (PA) with the prevalence of metabolic syndrome (MetS) in older adults. Accelerometer-derived light-intensity PA, moderate to vigorous PA, and steps per day were measured in (N = 4,652) 70-year-olds in Umeå, Sweden, during May 2012–November 2019. The MetS was assessed according to the American Heart Association/ National Heart, Lung and Blood Institute criteria. The prevalence of MetS was 49.3%. Compared with the reference, the odds ratios for MetS in increasing quartiles of light-intensity PA were 0.91 (0.77–1.09), 0.75 (0.62–0.89), and 0.66 (0.54–0.80). For moderate to vigorous PA, the corresponding odds ratios were 0.79 (0.66–0.94), 0.67 (0.56–0.80), and 0.56 (0.46–0.67). For steps per day, the odds ratios were 0.65 (0.55–0.78), 0.55 (0.46–0.65), and 0.45 (0.36–0.55). In summary, this study shows that greater amounts of PA, regardless of intensity, are associated with lower odds of MetS. With the limitation of being an observational study, these findings may have implications for the prevention of MetS in older adults.


2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
Yi‐Hsuan Lin ◽  
Yen‐Ching Chen ◽  
Jeng‐Min Chiou ◽  
Ta‐Fu Chen ◽  
Liang‐Chuan Lai ◽  
...  

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