scholarly journals Serum FGF21 levels are altered by various factors including lifestyle behaviors in male subjects

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kaori Nakanishi ◽  
Chisaki Ishibashi ◽  
Seiko Ide ◽  
Ryohei Yamamoto ◽  
Makoto Nishida ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Alcohol Consumption ◽  
Smoking Status ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Health Examination ◽  
Lifestyle Behaviors ◽  
Gamma Glutamyl Transpeptidase ◽  
Cross Sectional ◽  
Consumption Frequency

AbstractFibroblast growth factor (FGF) 21 has various functions, including glucose and lipid metabolism. This cross-sectional study aimed to investigate specific conditions that might influence the functions of FGF21. 398 men who underwent a health examination were enrolled in this study. Physical and biochemical parameters and information on several lifestyle behaviors were obtained from all subjects. FGF21 levels correlated with age, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (γ-GTP), uric acid, total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), fasting plasma glucose (FPG), and HbA1c. Moreover, FGF21 levels were significantly associated with lifestyle behaviors, including smoking status and breakfast and alcohol consumption frequency. Multivariable regression analysis showed that age, ALT, γ-GTP, smoking status, and breakfast and alcohol consumption frequency were independent variables for FGF21 levels. Assessment among the non-obese and obese groups showed that FGF21 levels correlated with WC, SBP, and TC only in the non-obese group. Thus, serum FGF21 levels were affected by several factors, including lifestyle behaviors, age, and liver function. To assess the functions of FGF21 in individuals, considering these factors would be essential.

scholarly journals Serum FGF21 levels are altered with various factors including lifestyle behaviors

2021 ◽  
Author(s):  
Kaori Nakanishi ◽  
Chisaki Ishibashi ◽  
Seiko Ide ◽  
Ryohei Yamamoto ◽  
Makoto Nishida ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Alcohol Consumption ◽  
Smoking Status ◽  
Density Lipoprotein ◽  
Lifestyle Behaviors ◽  
Gamma Glutamyl Transpeptidase ◽  
Glucose And Lipid Metabolism ◽  
Consumption Frequency ◽  
Multivariable Regression ◽  
Glutamyl Transpeptidase

Abstract Fibroblast growth factor (FGF) 21 has various functions, including glucose and lipid metabolism, yet the biology of FGF21 remains unclear. This study aimed to investigate specific conditions that might affect the functions of FGF21. Subjects included 398 healthy men who underwent health examinations to obtain information on physical and biochemical parameters and lifestyle behaviors. Associations of serum FGF21 levels with each parameter were assessed in the study. FGF21 levels correlated with age, body mass index, waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure, aspartate aminotransferase, alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (γ-GTP), uric acid, total cholesterol (TC), triglycerides, high-density lipoprotein cholesterol, fasting plasma glucose, and HbA1c. Moreover, FGF21 levels were significantly associated with lifestyle behaviors, including smoking status and breakfast and alcohol consumption frequency. Multivariable regression analysis showed that age, ALT, γ-GTP, smoking status, and breakfast and alcohol consumption frequency were independent variables for FGF21 levels. Assessment among the non-obese and obese groups showed that FGF21 levels correlated with WC, SBP, and TC only in the non-obese group. Thus, serum FGF21 levels were affected by several factors, including lifestyle behaviors, age, and liver function. To assess the functions of FGF21 in individuals, considering these factors would be essential. (199 words)

scholarly journals Association between central non-dipping pattern and platelet morphology in adults with type 1 diabetes without cardiovascular disease: a cross-sectional study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michal Kulecki ◽  
Dariusz Naskret ◽  
Mikolaj Kaminski ◽  
Dominika Kasprzak ◽  
Pawel Lachowski ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 1 Diabetes ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Distribution Width ◽  
Non Invasive ◽  
Platelet Morphology ◽  
Oscillometric Device

AbstractThe non-dipping pattern is nighttime systolic blood pressure (SBP) fall of less than 10%. Several studies showed that the non-dipping pattern, increased mean platelet volume (MPV), and platelet distribution width (PDW) are associated with elevated cardiovascular risk. Hypertensives with the non-dipping pattern have higher MPV than the dippers but this relationship was never investigated among people with type 1 diabetes mellitus (T1DM). This study aimed to investigate the association between the central dipping pattern and platelet morphology in T1DM subjects. We measured the central and brachial blood pressure with a validated non-invasive brachial oscillometric device—Arteriograph 24—during twenty-four-hour analysis in T1DM subjects without diagnosed hypertension. The group was divided based on the central dipping pattern for the dippers and the non-dippers. From a total of 62 subjects (32 males) aged 30.1 (25.7–37) years with T1DM duration 15.0 (9.0–20) years, 36 were non-dippers. The non-dipper group had significantly higher MPV (MPV (10.8 [10.3–11.5] vs 10.4 [10.0–10.7] fl; p = 0.041) and PDW (13.2 [11.7–14.9] vs 12.3 [11.7–12.8] fl; p = 0.029) than dipper group. Multivariable logistic regression revealed that MPV (OR 3.74; 95% CI 1.48–9.45; p = 0.005) and PDW (OR 1.91; 95% CI 1.22–3.00; p = 0.005) were positively associated with central non-dipping pattern adjusting for age, sex, smoking status, daily insulin intake, and height. MPV and PDW are positively associated with the central non-dipping pattern among people with T1DM.

Health and nutrition literacy in adults: Links with lifestyle factors and obesity

2020 ◽  
Vol 13 (4) ◽  
pp. 361-370
Author(s):  
Maria Michou ◽  
Demosthenes B. Panagiotakos ◽  
Christos Lionis ◽  
Vassiliki Costarelli
Keyword(s):  
Physical Activity ◽  
Alcohol Consumption ◽  
Linear Regression ◽  
Smoking Status ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Lifestyle Factors ◽  
Linear Regression Models ◽  
Chi Square ◽  
Cross Sectional

BACKGROUND: Low Health Literacy (HL) and Nutrition Literacy (NL) are associated with serious negative health outcomes. OBJECTIVES: The aim of this study was to investigate certain lifestyle factors and obesity, in relation to HL and NL. METHODS: This cross-sectional study was conducted in the urban area of the Attica region, in Greece. The sample consisted of 1281 individuals, aged ≥18 years. HL, NL sociodemographic characteristics and lifestyle factors (physical activity, smoking status, alcohol consumption,) were assessed. Mann-Whitney U, the Kruskall Wallis, Pearson chi-square tests and multiple linear regression models were used. RESULTS: Linear regression analysis has shown that smoking, alcohol consumption and physical activity, were associated with HL levels (–1.573 points for ex-smokers in comparison to smokers, p = 0.035, –1.349 points for alcohol consumers in comparison to non-consumers, p = 0.006 and 1.544 points for physically active individuals to non-active, p = 0.001). With respect to NL levels, it was also not associated with any of these factors. Obesity was not associated with HL and NL levels. CONCLUSIONS: Certain lifestyle factors, including physical activity, are predicting factors of HL levels, in Greek adults. The results contribute to the understanding of the relationship between lifestyle factors and HL and should be taken into account when HL policies are designed.

scholarly journals Serum paraoxonase-1 activity is associated with light to moderate alcohol consumption: the PREVEND cohort study

2018 ◽  
Vol 108 (6) ◽  
pp. 1283-1290 ◽  
Author(s):  
Eke G Gruppen ◽  
Stephan J L Bakker ◽  
Richard W James ◽  
Robin P F Dullaart
Keyword(s):  
Alcohol Consumption ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
High Sensitivity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Paraoxonase 1 ◽  
Phenyl Acetate ◽  
Cross Sectional

ABSTRACT Background Paraoxonase-1 (PON-1) is a high-density lipoprotein (HDL)-associated enzyme with antioxidative properties, which may protect against the development of cardiovascular disease. Alcohol consumption increases HDL cholesterol, but the extent to which alcohol consumption gives rise to higher serum PON-1 activity is uncertain. Objective In a population-based study, we determined the relation of serum PON-1 activity with alcohol consumption when taking account of HDL cholesterol and apolipoprotein A-I (apoA-I), its major apolipoprotein. Design A cross-sectional study was performed in 8224 participants of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) cohort. Alcohol consumption was categorized as 1) no/rarely (25.3%); 2) 0.1–10 g/d (49.3%); 3) 10–30 g/d (20.1%); and 4) >30 g/d (5.2%) with 1 drink equivalent to 10 g alcohol. Serum PON-1 activity was measured as its arylesterase activity (phenyl acetate as substrate). Results Median serum PON-1 activity was 50.8, 53.1, 54.4, and 55.7 U/L in the 4 categories of alcohol consumption, respectively (P < 0.001). Its increase paralleled the increments in HDL cholesterol and apoA-I. Notably, there was no further increase in PON-1 activity, HDL cholesterol, and apoA-I when alcohol consumption was increased from 10–30 g/d to >30 g/d. Multivariable linear regression analysis demonstrated that PON-1 activity was related to alcohol consumption independently from clinical covariates, high sensitivity C-reactive protein, and lipid concentrations, including HDL cholesterol (P < 0.001 for each category of alcohol consumption with no alcohol consumption as the reference category). Notably, as inferred from standardized β-coefficients, there was no difference in PON-1 activity between 10–30 g alcohol/d and >30 g alcohol/d. Conclusions Alcohol consumption is associated with an increase in serum PON-1 activity, but its effect seems to reach a plateau with alcohol consumption of 10–30 g/d.

scholarly journals Dietary Inflammatory Index Score and Its Association with Body Weight, Blood Pressure, Lipid Profile, and Leptin in Indonesian Adults

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 148 ◽  
Author(s):  
Harry Muhammad ◽  
Marleen van Baak ◽  
Edwin Mariman ◽  
Dian Sulistyoningrum ◽  
Emy Huriyati ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Weight ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Dietary Inflammatory Index ◽  
Cross Sectional ◽  
Inflammatory Index ◽  
Plasma Leptin

It was previously reported that dietary intake is an important trigger for systemic inflammation and one of the lifestyle factors for the development of cardiovascular diseases. The aim of this study was to evaluate the association between Dietary Inflammatory Index (DII) score and body weight, blood pressure, lipid profile and leptin in an Indonesian population. This was a cross-sectional study conducted in 503 Indonesian adults. The DII score was calculated based on data of 30 nutrients and food components. Anthropometric profile, blood pressure, lipid profile, and leptin were measured. The association of these variables with the DII score was analyzed. The DII score was not associated with body weight, body mass index (BMI), body fat, waist circumference, hip circumference, systolic and diastolic blood pressure, triglycerides, and high-density lipoprotein (HDL) (both unadjusted and after adjustment for covariates). However, plasma leptin concentration was significantly associated with the DII score (B = 0.096, p = 0.020). Plasma leptin also increased significantly across tertiles of the DII score (ANCOVA, p = 0.031). This positive association between the DII score and plasma leptin concentration suggests a role for the inflammatory properties of the diet in regulating adipose tissue inflammation.

Melatonin and cryptochrome 2 in metabolic syndrome patients with or without diabetes: a cross-sectional study

2018 ◽  
Vol 35 (2) ◽  
Author(s):  
Ibrahim Abdul Kareem Al-Sarraf ◽  
Violet Kasabri ◽  
Amal Akour ◽  
Randa Naffa
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
P Value ◽  
Metabolic Risk ◽  
Sectional Study ◽  
Cross Sectional ◽  
Cryptochrome 2

Abstract Background Metabolic syndrome (MetS) is a cluster of metabolic risk factors which increases the chances for future cardiovascular diseases, as well as diabetes. The underlying causes of MetS include overweight and obesity, physical inactivity and genetic factors. Our intension here was to focus in this study on the importance of the chronobiology, represented by melatonin (MT) and cryptochrome 2 (CRY2), in developing MetS and type 2 diabetes mellitus (T2DM). Thus, we aimed to compare MT and CRY2 plasma levels and correlate both biomarkers with adiposity, atherogenicity and hematological indices in MetS and T2DM cohorts. Methods In a cross-sectional study, 28 normoglycemic lean subjects (controls), 29 normoglycemic MetS subjects and 30 MetS (pre-diabetic/diabetic) were recruited. Results MT (pg/mL) was elevated significantly in MetS arm p-value < 0.05, whereas CRY2 levels (ng/mL) were markedly higher in both MetS groups (non-diabetic and pre-diabetic/diabetic) (all with p-value < 0.001). A reciprocal MT-CRY2 relationship was observed in the MetS (non-diabetic) group (p-value = 0.003). Of note in the total study population, both MT and CRY2 proportionally correlated with each of the following: atherogenicity index of plasma (AIP), waist circumference (WC) and systolic blood pressure (SBP) (all with p-value < 0.05) for MT and CRY2, respectively). Whereas MT correlated inversely with high-density lipoprotein-cholesterol (HDL-C) (p-value < 0.05). Additionally, CRY2 correlated directly with each of the following: diastolic blood pressure (DBP), total cholesterol (TC), low-density lipoprotein (LDL-C), hip circumference (HC), body adiposity index (BAI), weight-to-height (WHtR) ratio, mean platelet volume (MPV) and platelet/lymphocyte ratio (PLR) (p-value < 0.05). Conclusion These findings substantiate that both metabolic risk biomarkers can be prognostic tools and pharmacotherapeutic targets to slowdown the accelerated nature of T2DM.

scholarly journals C-Peptide Versus Insulin: Relationships with Risk Biomarkers of Cardiovascular Disease in Metabolic Syndrome in Young Arab Females

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
A. Abdullah ◽  
H. Hasan ◽  
V. Raigangar ◽  
W. Bani-Issa
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Density Lipoprotein ◽  
High Sensitivity ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Health Concern ◽  
Cross Sectional ◽  
C Peptide

Background. Obesity is a major health concern and is associated with metabolic syndrome (MetS) that increases the risk for cardiovascular disease (CVD). Since little is known about the relationships between MetS components and CVD in overweight/obese young Arab females, our study aimed at examining these relationships and further to explore the associations between connecting peptide (C-peptide) and insulin with these biomarkers.Subjects and Methods. In this cross-sectional study, 80 apparently healthy young Arab females were recruited and grouped by their body mass index (BMI) into normal-weight (GI) and overweight/obese (GII) groups.Results. The two groups significantly differed in BMI, waist circumference (WC) and values of biomarkers, namely, leptin, fasting insulin, uric acid (UA), insulin resistance (HOMA-IR), C-peptide, high-sensitivity C-reactive protein (hs-CRP), high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), and diastolic blood pressure (DBP). C-peptide significantly correlated with WC, leptin, UA, and HDL-C and was predicted by three biomarkers; UA, WC and HDL-C. Whereas, insulin significantly correlated with only two biomarkers including leptin and DBP and was predicted by UA and DBP.Conclusions. The present study highlighted the association between MetS and CVD in young Arab females and the possible role of C-peptide in the prediction of CVD.

scholarly journals Prevalence and associated factors of diabetic retinopathy in Beijing, China: a cross-sectional study

BMJ Open ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. e015473 ◽  
Author(s):  
Jing Cui ◽  
Ji-Ping Ren ◽  
Dong-Ning Chen ◽  
Zhong Xin ◽  
Ming-Xia Yuan ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Diabetic Retinopathy ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Health Examination ◽  
Sectional Study ◽  
Cross Sectional ◽  
Patients With Diabetes ◽  
Beijing China

ObjectivesThe study aimed to determine the exact risk factors for diabetic retinopathy (DR) in the Chinese population using a cohort of 17  985 individuals from Beijing, China.DesignCross-sectional study.SettingA hospital.Participants17  985 individuals from Beijing, China.Primary and secondary outcome measuresThis was a cross-sectional study of permanent residents from the Changping area (Beijing, China) recruited from July 2010 to March 2011 and from March 2014 to February 2015 during a routine health examination at the Tongren Hospital of Beijing. Eye examinations were conducted by experienced ophthalmologists. Medical history, height, weight, body mass index (BMI) and blood pressure were recorded. Routine laboratory examinations were performed.ResultsThe prevalence of DR was 1.5% in the general study population and 8.1% among individuals with diabetes. Compared with the non-DR group, individuals in the DR group in the diabetes population had longer disease duration, higher systolic blood pressure (SBP), fasting plasma glucose (FPG) and uric acid (UA) (in men) and lower UA (in women) (all p<0.05). The multivariate analysis showed that disease duration (p<0.001), BMI (p=0.046), SBP (p=0.012), creatinine clearance rate (CCR) (p=0.014), UA (p=0.018) and FPG (p<0.001) were independently associated with DR in patients with diabetes.ConclusionThe prevalence of DR was 8.1% among patients with diabetes. Disease duration, BMI, SBP, CCR, UA and FPG were independently associated with DR.

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