The relationship between neurocognitive functioning and metabolic syndrome (MetS) parameters and the interaction effect of cognitive insight in non-psychiatric individuals

2017 ◽  
Vol 41 (S1) ◽  
pp. S180-S181
Author(s):  
S. Kilian ◽  
L. Asmal ◽  
S. Suliman ◽  
S. Seedat ◽  
R. Emsley

IntroductionMetabolic syndrome (MetS) parameters are: elevated waist circumference (WC), triglycerides (TG), fasting glucose (FBG) and blood pressure (BP) and reduced high-density lipoprotein cholesterol (HDL). MetS parameters are associated with poor cognition and this association should be studied in the context of other factors. In particular, factors that are involved in maintaining poor lifestyle choices – MetS is largely a lifestyle illness. One factor important to consider is cognitive insight – an individual's ability to be flexible in how you think about yourself and others and to question your own thoughts.ObjectivesTo conduct an exploratory cross-sectional study investigating the influence of cognitive insight on the relationship between MetS parameters and cognition in non-psychiatric individuals.AimsTo explore the nature of the relationship between cognition and MetS parameters and test whether cognitive insight moderates the association.MethodsOur sample consisted of n = 156 participants with mixed-ancestry. Correlations between MetS parameters and cognition were tested. ANOVA was used to test interaction effects and logistic regression was done to test the predictive power of selected factors.ResultsBP correlated with attention, delayed memory, and RBANS total scale score. The BCIS self-certainty subscale moderated the relationship between BP and immediate memory and attention. Age and BCIS self-certainty were the only predictors of elevated BP.ConclusionsGood cognitive insight act as protective factor and reduce the impact of elevated BP on cognition. Cognitive insight may be a predictor of elevated BP.Disclosure of interestThe authors have not supplied their declaration of competing interest.

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Cheng-Yu Wei ◽  
Chia-Cheng Sun ◽  
James Cheng-Chung Wei ◽  
Hsu-Chih Tai ◽  
Chien-An Sun ◽  
...  

The increasing prevalence of metabolic syndrome (MetS) has become an important issue worldwide. Metabolic comorbidities of hypertension, obesity, and hyperlipidemia are shown as important risk factors for incident gout. The purpose of this study was to investigate the relationship between hyperuricemia and MetS. This is a cross-sectional study. The effective sample included 21,544 individuals who received worker health examinations at a local teaching hospital in Changhua County from 2008~2012. We used multiple logistic regression analysis to investigate the influences of hyperuricemia on MetS. The results showed that individuals with MetS had significantly higher blood pressure, fasting plasma glucose, triglycerides, waist circumference, and high-density lipoprotein cholesterol than those without MetS(P<0.001). Multiple logistic regression analysis revealed hyperuricemia to be an important factor of MetS. The risk of developing MetS is higher with high levels of serum uric acid (SUA) and the odds ratio (OR) of having MetS is 4.98 times higher for Tertile 3 than for Tertile 1 (95% CI = 4.16–5.97) and 4 times higher for Quartile 4 than for Quartile 1 (95% CI = 3.59–4.46). In conclusion, males are more likely to develop MetS than females, and the risk of having MetS increases with age and SUA concentration.


2020 ◽  
Vol 33 (2) ◽  
pp. 233-239 ◽  
Author(s):  
Rosemeire A.S. Dejavitte ◽  
Carla C. Enes ◽  
Luciana B. Nucci

AbstractBackgroundMetabolic syndrome (MetS) is not only a problem of adulthood but is already present in children and adolescents. The aim of this study was to estimate the prevalence of MetS in adolescents and to identify the associated factors.MethodsThis was a cross-sectional study with 354 overweight and obese school-aged adolescents (10–19 years). Sociodemographic, anthropometric, clinical, biochemical and lifestyle variables were collected. MetS was identified according to the criteria proposed by the International Diabetes Federation (IDF). Multivariate logistic regression models were used to examine the associations between risk variables and MetS.ResultsThe prevalence of MetS was 9.6%. Among adolescents with MetS, all of them had low high-density lipoprotein cholesterol (HDL-c), while 76.5% had hyperglycemia and 38.2% had hypertriglyceridemia. Only 12.1% did not present any component of MetS, while 40% had at least two components. Multivariate analysis showed that being a girl was a protective factor (odds ratio [OR] = 0.29, confidence interval [CI] = 0.13–0.65) for the presence of MetS, while obesity (OR = 3.63, CI = 1.62–8.17) and being insufficiently active (OR = 4.60, CI = 1.01–20.96) were the risk factors for MetS.ConclusionsObese and insufficiently active male adolescents are more likely to have MetS. Early identification of MetS components, especially among obese adolescents, is an important tool for the prevention of cardiovascular complications in adult life.


2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Jusuk Lee ◽  
Taehong Kim

Abstract Background Understanding the relationship between breastfeeding (BF) and metabolic syndrome (Mets) is important for maternal long-term health benefits and disease prevention. This study aimed to examine the association between BF and Mets and its components among postmenopausal parous Korean women. Methods This cross-sectional study on 10,356 Korean women used nationally representative data from the KNHANES from 2010 to 2016. Anthropometric, laboratory data and manual BP were measured. A multivariate logistic regression analysis was conducted to examine the association of BF with Mets and its components after adjusting for potential confounding variables. A p-value < 0.05 was to be considered statistically significant. Results Mets was present in 42% of the study participants. The BF group had low household income and education level. The prevalence of Mets in the BF group was higher than that in the non-BF group (42.69% vs. 34.76%, p <  0.001). BF was associated with increased risk of Mets (odds ratio [OR]: 1.4, 95% confidence interval [CI]: 1.18–1.65, p <  0.001). The BF group was at higher risks for diabetes (OR: 1.5, 95%CI: 1.14–1.98), hypertension (OR: 1.32, 95%CI: 1.03–1.68), hypertriglyceridemia (OR: 1.42, 95%CI: 1.02–1.99) and low high-density lipoprotein cholesterol (OR: 1.32, 95%CI: 1.06–1.65). Conclusion In this study, BF did not affect decreasing the prevalence of Mets and its components.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Khalil Mahmoodi

Various risk factors including blood iron may create coronary artery diseases and lead to myocardial infarction. There are controversies with regard to the impact of blood iron on myocardial infarction. Therefore, the aim of this paper was to investigate the relationship between iron reserves and the intensity of coronary artery stenos is among angiographic candidates in Zanjan, Iran. This was a cross sectional study. Samples were consisted of patients who were hospitalized for diagnostic coronary angiography in hospitals in an urban area of Iran. A convenient sampling method was used to recruit samples via interviews and laboratory examinations for FBS, iron, TIBC, ferritin, creatinine serum, CBC, cholesterol, HDL and LDL. The samples were divided into control and intervention groups. After coronary angiography, the intervention group was evaluated by four different methods including the extent score, stenos is score, vessel score and Duke CAN Index. The samples were consisted of 89 men (60.1%) and 59 women (39.9%). The levels of ferritin (p=0.003) and iron (p=0.002), and transferrin saturation percent (p=0.002) showed significant differences between males and females (p=0.004)


2021 ◽  
Vol 15 (1) ◽  
pp. 14-18
Author(s):  
Abdellah H.K. Ali

Background: Recent studies have reported the epidemiological link between Metabolic Syndrome (MS) and asthma, but it has rarely been studied in Egypt. The study aimed to investigate the prevalence of MS and its predictors among asthma patients in Egypt. Methods: In total, 320 patients with bronchial asthma were included. The following were assessed: spirometric evaluation, anthropometric indices, blood pressure, fasting blood sugar and serum lipid profile. We analyzed the correlation between metabolic scores and patient characteristics. Predictors of MS were identified using logistic regression analysis. Results: The prevalence of MS was 57.5% in asthma patients. For asthma patients, low High-Density Lipoprotein (HDL) and abdominal obesity were the commonest metabolic abnormality. Waist circumference, Fasting Blood Sugar (FBS) and triglyceride correlated significantly with asthma (P ‹ 0.05). FBS and DBP were the best predictors of MS. Conclusion: MS is frequent in asthma patients in Egypt. Obesity and lipid abnormalities were the commonest metabolic abnormality. Screening of these patients for components of metabolic syndrome should be a part of routine workup.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rui Huang ◽  
Li Yan ◽  
Yuhua Lei

Abstract Aim The incidence rate of diabetes is increasing year by year, seriously threatening human health. As a predictor of glycemic control, glycated hemoglobin is reported to be related to various complications and prognoses of diabetes. Besides, HDL-C dyslipidemia is a component of metabolic syndrome and may be related to various cardiovascular and cerebrovascular diseases. The principal objective of this project was to investigate the relationship between HDL-C and glycosylated hemoglobin in adult diabetic patients. Methods A total of 3171 adult diabetic patients aged 20 years and above were included in the present study from the National Health and Nutrition Examination Survey (NHANES). HDL-C and glycosylated hemoglobin were regarded as independent and dependent variables, respectively. EmpowerStats software and R (version 3.4.3) were used to examine the association between HDL-C and glycosylated hemoglobin. Results HDL-C was inversely associated with glycohemoglobin after adjusting for other covariates (β = − 0.004, 95% CI:− 0.008 to − 0.000, p = 0.044). Race/ethnicity and age were considered the most prominent interactive factors that affect the relationship between HDL and glycosylated hemoglobin by the interaction analysis. A U-shaped association was detected between HDL-C and glycosylated hemoglobin for people of other race/ethnicity or aged 60 and above, which had an inflection point of HDL-C at 60 mg/dL. In contrast, we observed an inverted U-shaped distribution between HDL-C and glycosylated hemoglobin in people under 40 with point of inflection located at 60 mg/dL as well. Conclusions HDL-C in diabetic patients is inversely associated with glycosylated hemoglobin and may be relevant to glycemic control. However, a U-shaped relationship was also observed in a certain kind of people, which implied that, though HDL-C is considered as metabolism and anti-atherogenic property, for diabetics, it is not the higher, the better.


2021 ◽  
pp. 101053952110478
Author(s):  
Won Sun Chen ◽  
Ching Sin Siau ◽  
Suzanna Awang Bono ◽  
Wah Yun Low

The impact of the COVID-19 pandemic on mental health is an emerging problem globally. This study aimed to examine the mediating effect of chronic illnesses in the relationship between psychological health and the acceptance of the COVID-19 vaccine, prior to the national vaccine rollout in Malaysia. An online cross-sectional study was conducted in Malaysia between December 10, 2020, and February 9, 2021. In addition to the descriptive analyses, a mediation analysis was performed to examine the mediating effect of chronic illnesses in the relationship between psychological distress and the willingness to accept the vaccine. A total of 1738 participants completed the survey. The psychological distress levels were found to be significantly different across demographic factors such as age, gender, and social economic status. This study demonstrated a partial mediating effect of chronic illnesses in the relationship between psychological distress and vaccine acceptance.


2020 ◽  
Author(s):  
Yan Liu ◽  
Zhenwen Zhang ◽  
Binlan Xia ◽  
Liping Wang ◽  
Hengzhong Zhang ◽  
...  

Abstract Background: Evidence on the association between the non-high-density lipoprotein cholesterol (non-HDLc)-to-high-density lipoprotein cholesterol (HDLc) ratio (non-HDLc/HDLc) and carotid plaques is still limited. This study aims to assess the relationship between the non-HDLc/HDLc and carotid plaques in a population with a high risk of stroke.Methods: A cross-sectional study based on the community was conducted in Yangzhou, China. Residents (no younger than 40 years old) underwent questionnaire interviews, physical examinations, and laboratory testing during 2013-2014. The subjects with a high risk of stroke were further selected (at least three of eight risk factors including hypertension, atrial fibrillation, type 2 diabetes mellitus, dyslipidaemia, smoking, lack of exercise, overweight, and family history of stroke) or a transient ischaemic attack (TIA) or stroke history. Carotid ultrasonography was then performed on the high stroke risk participants. Carotid plaque was defined as a focal carotid intima-media thickness (cIMT) ≥1.5 cm or a discrete structure protruding into the arterial lumen at least 50% of the surrounding cIMT. Logistic regression was employed to evaluate the relationship between the non-HDLc/HDLc and carotid plaques.Results: Overall, 839 subjects with a high risk of stroke were ultimately included in the analysis, and carotid plaques were identified in 341 (40.6%) of them. Participants in the highest non-HDLc/HDLc tertile group presented a higher proportion of carotid plaques than did those in the other two groups. After adjustment for other confounders, each unit increase in the non-HDLc/HDLc was significantly associated with carotid plaques (OR 1.55, 95%CI 1.28-1.88). In the subgroup analysis, the non-HDLc/HDLc was positively and significantly associated with the presence of carotid plaques in most subgroups. Additionally, the non-HDLc/HDLc interacted significantly with three stratification variables, including sex (OR 1.31 for males vs. OR 2.37 for females, P interaction = 0.016), exercise (OR 1.18 for subjects without lack of exercise vs. OR 1.99 for subjects with lack of exercise, P interaction = 0.004) and heart diseases (OR 1.40 for subjects without heart diseases vs. OR 3.12 for subjects with heart diseases, P interaction = 0.033). Conclusion: The non-HDLc/HDLc was positively associated with the presence of carotid plaques in a Chinese high stroke risk population. A prospective study or randomized clinical trial of lipid-lowering therapy in the Chinese population is needed to evaluate their causal relationship.


2021 ◽  
Author(s):  
Naim Fanaj ◽  
Sevim Mustafa ◽  
Erika Melonashi

Numerous studies have investigated the impact of self-esteem and intelligence on academic achievement. The findings are generally inconsistent. The aim of this study was to understand the relationship between intelligence, self-esteem and academic achievement among young people in Kosovo. It was a quantitative cross-sectional study. The sample consisted of 1856 participants, aged 10-18 years old (Mage = 15.29, SD = 1.76). Participants completed the Rosenberg Self-Esteem Scale and The Raven Standard Progressive Matrices. Grade Point Average (GPA) was used to measure academic achievement. Data processing was done with SPSS 21.0 and Microsoft Excel 2013. Participants according to self-reported academic achievement were classified as follows: fail (0.1%), sufficient (2%), good (15.6%), very good (26.7%) and excellent (55.7%). As regards self-esteem participants were classified as follows: low self-esteem (26.9%), and normal self-esteem (73.1%). A significant positive correlation was found between academic achievement and intelligence (r = .31; p = .00) but not between achievement and self-esteem. This significant correlation resulted for both genders separately. The Mann-Whitney test found significant differences in academic achievement between genders and between groups with high intelligence and those with normal intelligence. Intelligence, but not self-esteem revealed a significant relationship with academic achievement. Future studies on the topic might focus on explanatory factors or the possibility of interaction of other variables related to academic achievement.


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