scholarly journals Association between periodontitis and the metabolic syndrome in the Hamburg City Health Study

Author(s):  
Jennifer Kotin ◽  
Carolin Walther ◽  
Ulrich Wenzel ◽  
Birgit‐Christiane Zyriax ◽  
Katrin Borof ◽  
...  
Author(s):  
Heeja Jung ◽  
Hyunju Dan ◽  
Yanghee Pang ◽  
Bohye Kim ◽  
Hyunseon Jeong ◽  
...  

Metabolic syndrome (MetS) is an important public health problem, and unhealthy dietary habits and shift work are considered major factors that increase the prevalence of MetS. The purpose of this study was to examine whether dietary habits, alcohol drinking, and shift-working were associated with development of MetS in shift-working female nurses. This study analyzed cross-sectional survey data from the Korea Nurses’ Health Study (KNHS). Of the 1638 nurses, 403 participants were selected based on the propensity score matching method (PSM). These participants had either no or more than three MetS determinant factors. Analysis was conducted by using multivariable logistic regression to confirm the factors influencing MetS. The prevalence of MetS in this group (1638 participants) was 5.6% (92 participants). Consumption of over 50% of daily calorie intake after 7 p.m., consumption of carbonated drinks, family history of diabetes, and non-shift work were significant factors influencing MetS. Nurses are one of the at-risk groups for unhealthy dietary habits due to the nature of their work. Therefore, nurse managers should include regular dietary education for nurses and continue their policy efforts to resolve health problems that may arise in connection with nurses’ work.


2015 ◽  
Vol 25 (7) ◽  
pp. 480-485 ◽  
Author(s):  
Maria M. Llabre ◽  
William Arguelles ◽  
Neil Schneiderman ◽  
Linda C. Gallo ◽  
Martha L. Daviglus ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0132244 ◽  
Author(s):  
Gabriela Saravia ◽  
Fernando Civeira ◽  
Yamilee Hurtado-Roca ◽  
Eva Andres ◽  
Montserrat Leon ◽  
...  

2010 ◽  
Vol 35 (5) ◽  
pp. 635-642 ◽  
Author(s):  
Arne Torbjørn Høstmark

It has been reported that the frequency of cola intake (COLA) is positively associated with serum triglycerides and negatively associated with high-density-lioprotein (HDL) cholesterol, both components of the metabolic syndrome (MetS). The question now is whether noncola soft drink intake (NCOLA) is associated with MetS. Among the 18 770 participants in the Oslo Health Study, 5373 men and 6181 women had data on COLA and NCOLA and risk factors for MetS (except fasting glucose). Main MetS requirements are central obesity and 2 of the following: increased triglycerides, low HDL cholesterol, increased systolic or diastolic blood pressure, and elevated fasting blood glucose. The MetSRisk index was calculated to estimate many MetS components. Using regression analyses, the association between COLA (NCOLA) and MetS (MetSRisk) was studied. In young (aged 30 years), middle-aged (aged 40 and 45 years), and senior (aged 59 and 60 years) men and women, there was, in general, a positive correlation between COLA and MetSRisk, and between COLA and single MetS risk factors, except HDL cholesterol, which was negatively correlated. A less consistent picture was found for NCOLA. By regression analyses, after adjustment for sex, age, time since last meal, and use of sugar-sweetened soft drinks, a positive association between COLA (NCOLA) and MetSRisk (MetS) was still found. However, when also controlling for cheese, fatty fish, coffee, alcohol, smoking, physical activity, education, and birthplace, only the association with COLA remained significant, irrespective of the presence or absence of sugar. In conclusion, the self-reported intake frequency of soft drinks can be positively associated with MetS.


Diabetes Care ◽  
2007 ◽  
Vol 30 (10) ◽  
pp. 2553-2558 ◽  
Author(s):  
L. H. Curtis ◽  
B. G. Hammill ◽  
M. A. Bethel ◽  
K. J. Anstrom ◽  
J. S. Gottdiener ◽  
...  

2019 ◽  
Author(s):  
Scott D Mackenzie ◽  
Andrew A Crawford ◽  
Daniel Ackermann ◽  
Katharina E Schraut ◽  
Caroline Hayward ◽  
...  

ABSTRACTContext and objectiveCommon genetic variants in CYP17A1 associate with higher blood pressure, putatively from impaired 17α-hydroxylase activity and mineralocorticoid excess. However, the same variants protect against obesity and insulin resistance. We tested whether CYP17A1 variants that enhance 17α-hydroxylase activity cause ‘relative corticosterone deficiency’. Since corticosterone is thought to contribute disproportionately to negative feedback in the hypothalamic-pituitary-adrenal axis, we also tested whether lower corticosterone associates with higher cortisol and hence with metabolic syndrome.DesignCross-sectional studies within the population-based Orkney Complex Disease Study (ORCADES; n=2018), VIKING Health Study Shetland (VIKING; n=2098), East Hertfordshire study (EHERTS; n=279), Edinburgh Type 2 Diabetes Study (ET2DS; n=903), and the Swiss Kidney Project on Genes in Hypertension (SKIPOGH; n=888).Outcome measuresCortisol and corticosterone in morning plasma samples in ORCADES, VIKING and ET2DS, and in EHERTS in plasma following overnight dexamethasone suppression (0.25mg) and 30 mins after ACTH1-24 (1µg); cortisol and corticosterone metabolites in day and night urine samples in SKIPOGH. Features of the metabolic syndrome including body mass index, systolic blood pressure, lipid profile, fasting glucose, fasting insulin and HOMA-IR.ResultsIn ORCADES, ET2DS and SKIPOGH, CYP17A1 variants were associated with corticosterone:cortisol ratio. In ORCADES, VIKING and ET2DS there were consistent associations of morning plasma cortisol and corticosterone with BMI, blood pressure, lipid profile, fasting glucose and HOMA-IR. In EHERTS, however, after dexamethasone suppression and ACTH1-24 stimulation, impaired glucose tolerance and insulin sensitivity were associated with higher cortisol but lower corticosterone. Similarly, in SKIPOGH, low corticosterone:cortisol metabolite ratios were associated with high BMI and dyslipidemia.Conclusions‘Relative corticosterone deficiency’, due to a primary alteration in adrenal steroidogenesis favouring cortisol over corticosterone, may mediate the associations of genetic variation in CYP17A1 with metabolic syndrome. However, additional determinants of variation in plasma corticosterone are likely to explain its generally positive associations with features of metabolic syndrome.


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