Odds Of MetS Research Articles

Carotenoid pattern intake and relation to metabolic status, risk and syndrome, and its components - divergent findings from the ORISCAV-LUX-2 survey.

Carotenoids are generally associated with health-beneficial effects; however, their intake patterns related to the metabolic syndrome (MetS) and its components remain controversial. This cross-sectional study investigated associations between dietary intakes of individual carotenoids, fruits and vegetables, and the MetS and its components. Dietary intakes of 1346 participants of the Observation des Risques et de la Santé Cardio-Vasculaire au Luxembourg (ORISCAV-LUX-2) study were investigated by a 174-item FFQ, and carotenoid intake was determined by linking findings using mainly the USDA food databases. Components of MetS and complementary variables, including anthropometric (BMI, waist circumferences and waist:hip ratio) and biological parameters (TAG, HDL-cholesterol, fasting blood glucose and blood pressure), were measured. Logistic (for MetS) and linear multivariable regression models (including assessing MetS as scores) adjusted for various confounders were created. α-and β-Carotene, as well as lutein + zeaxanthin, were inversely associated with MetS (also when it was measured on a continuous scale), reducing the odds for MetS by up to 48 %. However, lycopene, phytoene and phytofluene were rather positively associated with MetS scores and its components, though these adverse effects disappeared, at least for lycopene, when controlling for intakes of tomato-based convenience foods, in line with indicating a rather unhealthy/westernised diet. All these associations remained significant when including fruits and vegetables as confounders, suggesting that carotenoids were related to MetS independently from effects within fruits and vegetables. Thus, a high intake of carotenoids was bidirectionally associated with MetS, its severity, risk and its components, depending on the type of carotenoid. Future investigations are warranted to explore the inverse role that tomato-based carotenoids appear to suggest in relation to the MetS.

Sex-specific differences in the association between APOE genotype and metabolic syndrome among middle-aged and older rural Indians

BackgroundMetabolic syndrome (MetS), characterized by elevated blood pressure, high blood glucose, excess abdominal fat, and abnormal cholesterol or triglyceride levels, significantly increases the risk of various non-communicable diseases. This study focuses on understanding the sex-specific association between Apolipoprotein E (APOE) polymorphism and MetS among middle-aged and older adults in rural southern India. MethodsThis cross-sectional study utilized data from the Centre for Brain Research-Srinivaspura Aging, Neuro Senescence, and COGnition (CBR-SANSCOG) study. Participants (n = 3741) underwent comprehensive clinical assessments and blood investigations, including APOE genotyping. MetS was defined using the National Cholesterol Education Program – Adult Treatment Panel III (NCEP ATP III) and the Consensus criteria. Statistical analyses, including chi-square tests, ANCOVA, and logistic regression, were conducted to explore the association of APOE genotype with MetS and its components, stratified by sex. ResultsFemales carrying the APOE E4 allele had 1.31-fold increased odds of MetS (95 % CI: 1.02,1.69, p = 0.035) according to the NCEP ATP III criteria but not when the Consensus criteria were applied. The study also noted sex-specific differences in the association of APOE with various MetS components, including lipid levels and waist circumference. DiscussionOur findings reveal a sex-specific association between the APOE E4 allele and MetS, with only females having an increased risk. This study contributes to the understanding of the genetic underpinnings of MetS and highlights the importance of considering sex-specific differences in MetS research and its prevention strategies. This study underscores the complexity of MetS etiology and emphasizes the need for further research to elucidate the role of genetic, environmental, and lifestyle factors in its progression, particularly in sex-specific contexts.

Prevalence of Metabolic Syndrome Among Emerging Adult Cannabis Users by Race/Ethnicity: Analysis of the 2009-2018 National Health and Nutrition Examination Surveys

BackgroundAssociation between cannabis use and metabolic syndrome (MetS) has been documented; yet variation by race/ethnicity is understudied. We examined cannabis use and MetS by race/ethnicity among emerging adults (18-25 years old), the age group with the highest prevalence of cannabis use. MethodsData from 18- to 25-year-olds who completed the National Health and Nutrition Examination Survey (2009-2018) were analyzed. Current cannabis use was defined as ≥1 day of use in the last 30 days. MetS was defined using standardized guidelines as ≥3 of the following: elevated fasting glucose, triglycerides, systolic (SBP) and/or diastolic blood pressure (DPB), waist circumference, and/or low high-density lipoprotein (HDL) cholesterol. Logistic regression was used to examine the association between current cannabis use (CCU) and MetS, adjusting for covariates. ResultsOf 3974 respondents, 48.8% were female, mean age 21.1 years (SD = 2.4), 56.7% non-Hispanic white, 20.4% Hispanic, and 14.0% non-Hispanic black (NHB). Hispanics had the highest MetS prevalence (7.9%) and lowest CCU prevalence (23.5%). NHB had highest CCU prevalence (33.4%, P < .0001) and lowest MetS prevalence (4.8%, P = .2543). CCUs had a higher mean SBP (P = .020) and Hispanics (P = .002) than never users. Conversely, NHB CCUs exhibited lower mean SBP than NHB never users (P = .008). CCUs had 42% reduced odds of MetS than never users (AOR: 0.58, 95% CI: 0.35-0.95). Among NHB, CCUs had 78% lower likelihood of having MetS than never users (AOR: 0.22, 95% CI: 0.06-0.81). ConclusionsCannabis use impacts MetS and blood pressure differently by race/ethnicity. Current cannabis use was associated with lower odds of MetS overall and among NHB. Further research is warranted to investigate how administration routes, dosages, and usage duration affect MetS.

Dietary polyphenols and the risk of metabolic syndrome: a systematic review and meta-analysis

BackgroundAccumulating evidence has suggested that dietary polyphenols may be protective against metabolic syndrome (MetS); however, the available evidence is contradictory. The aim of this meta-analysis was to assess the association between dietary intake of polyphenols and the odds of MetS.MethodsThe PubMed and Scopus databases were systematically searched to obtain eligible studies. The risk of MetS for the highest versus the lowest intakes of total, subclasses and individual polyphenols were examined by pooling odds ratios (OR) and 95% confidence intervals (95%CI) using the random effects model.ResultsA total of 14 studies (6 cohort and 8 cross-sectional studies) involving a total of 50,366 participants with 10,879 cases of MetS were included. When various polyphenol compounds were pooled, they were significantly related to a 22% decreased odds of MetS (([5 studies]; OR: 0.78; 95%CI: 0.72–0.85). Higher intakes of total flavonoids (([9 studies]; OR: 0.78; 95%CI: 0.72–0.85), flavan-3-ols (([2 studies]; OR: 0.64; 95%CI: 0.43–0.94), isoflavones (([3 studies]; OR: 0.84; 95%CI: 0.75–0.93), stilbenes (([4 studies]; OR: 0.86; 95%CI: 0.76–0.97), flavones (([2 studies]; OR: 0.79; 95%CI: 0.71–0.89), and quercetin (([2 studies]; OR: 0.63; 95%CI: 0.43–0.93) were also significantly associated with a decreased risk of MetS. The associations were not modified by the age of the participants. No association was found for total polyphenols, phenolic acids, lignans, anthocyanins, and flavonols.ConclusionThe results of this meta-analysis supported that higher polyphenol intake can lower the risk of MetS.

Association of Zinc Intake, Tobacco Smoke Exposure, With Metabolic Syndrome: Evidence from NHANES 2007-2018.

The objective was to explore the effect modification of zinc (Zn) intake levels on the relationship of tobacco smoke exposure and risk of metabolic syndrome (MetS) in children and adolescents. We used data from 2007-2018 National Health and Nutrition Examination Survey (N = 3701). MetS was considered as main endpoint. Weighted multivariable logistic regression models showed that high cotinine level (≥ 0.05ng/mL) was associated with increased odds of MetS [odds ratio = 1.54, 95% confidence interval: 1.01, 2.36], and the association between Zn intake levels and MetS did not demonstrate statistical significance. Importantly, the multiplicative interaction term between low Zn intake (≤ 4.89mg/1000kcal) and high cotinine level was related to higher odds of MetS (p-value for interaction 0.018). For the group with low Zn intake, high cotinine level was associated with increased odds of MetS. However, there was no significant relationship between cotinine levels and MetS risk in the group with high Zn intake. The effect modification by Zn intake on the relationship of tobacco smoke exposure and risk of MetS is significant in individuals who had a sedentary time of ≥ 6h, identified as non-Hispanic White, or resided in households with smokers. In short, low Zn intake may potentiate the association of tobacco smoke exposure and MetS risk in children and adolescents.

Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan: a cross-sectional survey in the year 2022

ObjectiveTo determine the prevalence and associated risk factors of undiagnosed metabolic syndrome (MetS) using three different definitions among apparently healthy adults of Karachi, Pakistan.MethodsThis community-based cross-sectional survey was conducted in Karachi, Pakistan, from January 2022 to August 2022. A total of 1065 healthy individuals aged 25–80 years of any gender were consecutively included. MetS was assessed using the National Cholesterol Education Program for Adult Treatment Panel (NCEP-ATP) III guidelines, International Diabetes Federation (IDF), and modified NCEP-ATP III.ResultsThe prevalence of MetS was highest with the modified NCEP-ATP III definition at 33.9% (95% CI: 31–36), followed by the IDF definition at 32.2% (95% CI: 29–35). In contrast, the prevalence was lower at 22.4% (95% CI: 19–25) when using the NCEP ATP III definition. The risk of MetS significantly increases with higher BMI, as defined by the IDF criteria (adjusted OR [ORadj] 1.13, 95% CI 1.09–2.43), NCEP-ATP III criteria (ORadj 1.15, 95% CI 1.11–1.19), and modified NCEP-ATP III criteria (ORadj 1.16, 95% CI 1.12–1.20). Current smokers had significantly higher odds of MetS according to the IDF (ORadj 2.72, 95% CI 1.84–4.03), NCEP-ATP III (ORadj 3.93, 95% CI 2.55–6.06), and modified NCEP-ATP III (ORadj 0.62, 95% CI 0.43–0.88). Areca nut use was associated with higher odds of MetS according to both IDF (ORadj 1.71, 95% CI 1.19–2.47) and modified NCEP-ATP III criteria (ORadj 1.58, 95% CI 1.10–2.72). Furthermore, low physical activity had significantly higher odds of MetS according to the NCEP-ATP III (ORadj 1.36, 95% CI 1.01–1.84) and modified NCEP-ATP III criteria (ORadj 1.56, 95% CI 1.08–2.26).ConclusionOne-third of the healthy individuals were diagnosed with MetS based on IDF, NCEP-ATP III, and modified NCEP-ATP III criteria. A higher BMI, current smoking, areca nut use, and low physical activity were significant factors.

Metabolic syndrome: a population-based study of prevalence and risk factors

The association between personal habits and metabolic syndrome (MetS) remains controversial. This study aimed to assess the prevalence of MetS among youths and its association with cigarette, tobacco, opium, and alcohol consumption in the Rafsanjan Youth Cohort Study (RYCS). The current cross-sectional study was based on data from RYCS, as part of the Rafsanjan Cohort Study (RCS). RCS is a branch of the prospective epidemiological research studies in Iran (PERSIAN). In the present study, 2843 youths aged 15–35 were included. MetS was diagnosed using the international diabetes federation (International IDF), National Cholesterol Education Panel- Adult Treatment Panel III (NCEP-ATPIII), and Iranian criteria (IDF Iranian). Binary logistic regression models were performed to estimate odds ratios (ORs) and confidence intervals (CIs). The prevalence of MetS was 7.67%, 7.14%, and 10.13% based on NCEP-ATPIII, IDF Iranian, and International IDF criteria respectively. The odds of MetS according to international IDF and Iranian IDF in the alcohol-drinking group in the last 12 months (OR: 1.51, 95%CI 1.02–2.21, OR: 1.66, 95%CI 1.11–2.48 respectively) were greater compared with the non-drinking group. The odds of having high TG in the alcohol-drinking group in the last 12 months was 1.53 times higher than the control group (OR = 1.53, 95% CI: 1.20–1.94). Furthermore, the odds of having high waist circumference (WC) according to IDF International was significantly higher in the tobacco-smoking group in the last 12 months and in the tobacco-smoking group in the last 12 months daily (OR: 1.23, 95%CI 1.01–1.49 and OR: 1.41, 95%CI 1.01–1.98 respectively) compared to the control groups. The prevalence of MetS was 7.67%, 7.14%, and 10.13% based on NCEP-ATPIII, IDF Iranian, and International IDF criteria respectively. The odds of MetS and high TG were greater in the alcohol-drinking group in the last 12 months compared with the non-drinking group. The odds of high WC in the last 12 months, were greater in the tobacco-smoking group compared with the non-smoking group. However, more longitudinal studies are needed to verify the associations observed in the current study.

Metabolic syndrome and its associated factors among adults with cardiac diseases: A cross-sectional comparative group study.

There is limited information about the extent of metabolic syndrome (MetS) among subjects with cardiac diseases in Ethiopia. Therefore, this study aimed to determine the prevalence and associated factors of MetS among adults with cardiac diseases. A cross-sectional study was conducted at Hawassa University Comprehensive Specialized Hospital in southern-Ethiopia between May 2021 and August 2021. Data pertaining to the study were collected from 319 participants (153 cardiac and 166 non-cardiac groups) using the WHO stepwise approach. The International Diabetes Federation (IDF) and the revised National Cholesterol Education Program: Adult Treatment Panel III (ATP) were used to define MetS. The prevalence of MetS was 44.2% and 50.2% in IDF and ATP III, respectively. Among the cardiac group, 54.9% had MetS in IDF criteria, compared to 34.3% in the non-cardiac group (p < .001); whereas, it was 60.1% in the cardiac group and 41% in non-cardiac group (p < .001) by ATP III. Age >60 years, waist-height ratio ≥5, high waist-hip ratio, body mass index 25-29.9 and ≥30 kg/m2 were significantly associated with higher odds of MetS in both IDF and ATP III. Also, smoking history and monthly income were associated with MetS by ATP III, while being female was associated with higher odds of MetS by IDF. More than half of the subjects with cardiac diseases developed MetS as compared to non-cardiac controls. Periodic screening and focusing on the identified modifiable high-risk factors such as body weight, smoking, and central adiposity is important to effectively mitigate the risk of further comorbidity and complications in this high-risk population.

Serum levels of trimethylamine N-oxide and kynurenine novel biomarkers are associated with adult metabolic syndrome and its components: a case-control study from the TEC cohort.

Epidemiologic research suggests that gut microbiota alteration (dysbiosis) may play a role in the pathogenesis of metabolic syndrome (MetS). Dysbiosis can influence Trimethylamine N-oxide (TMAO) a gut microbiota-derived metabolite, as well as kynurenine pathways (KP), which are known as a new marker for an early predictor of chronic diseases. Hence, the current study aimed to investigate the association between KYN and TMAO with MetS and its components. This case-control study was conducted on 250 adults aged 18 years or over of Tehran University of Medical Sciences (TUMS) Employee's Cohort study (TEC) in the baseline phase. Data on the dietary intakes were collected using a validated dish-based food frequency questionnaire (FFQ) and dietary intakes of nitrite and nitrate were estimated using FFQ with 144 items. MetS was defined according to the NCEP ATP criteria. Serum profiles TMAO and KYN were measured by standard protocol. The mean level of TMAO and KYN in subjects with MetS was 51.49 pg/mL and 417.56 nmol/l. High levels of TMAO (≥30.39 pg/mL) with MetS were directly correlated, after adjusting for confounding factors, the odds of MetS in individuals 2.37 times increased (OR: 2.37, 95% CI: 1.31-4.28, P-value = 0.004), also, high levels of KYN (≥297.18 nmol/L) increased odds of Mets+ 1.48 times, which is statistically significant (OR: 1.48, 95% CI: 0.83-2.63, P-value = 0.04). High levels of TMAO compared with the reference group increased the odds of hypertriglyceridemia and low HDL in crude and adjusted models (P < 0.05). Additionally, there was a statistically significant high level of KYN increased odds of abdominal obesity (P < 0.05). Our study revealed a positive association between serum TMAO and KYN levels and MetS and some of its components. For underlying mechanisms and possible clinical implications of the differences. Prospective studies in healthy individuals are necessary.

Consumption of ultra-processed foods could influence the metabolic syndrome odds: A cross-sectional study.

Metabolic syndrome (MetS) prevalence has augmented globally during recent decades. Over the past years, the consumption of ultra-processed foods (UPFs) has grown significantly worldwide. So, the present research investigated the association between UPFs and MetS in an Iranian sample. This cross-sectional research was conducted on people (n = 8841) in the Fasa cohort study, Fars province, Iran. The participants' dietary consumption over a year, UPF consumption, and MetS diagnosis were evaluated through a 125-item modified food frequency questionnaire, the NOVA food group classification, and the Adult Treatment Panel III of the National Cholesterol Education Program, respectively. The association between the quartiles (Q) of UPF intake and the odds of MetS was estimated using the backward LR method of multivariate analysis. In the multivariate model, after adjusting potential confounders, the association between UPF intake and the odds of MetS was significant (Q4: odds ratio (OR = 3.27; 95% confidence interval (CI): 2.76-3.89). Also, the odds of increasing triglycerides (TG), blood pressure, and fasting blood sugar (FBS) and decreasing high-density lipoprotein cholesterol (HDL-C) were significantly higher in the last quartile compared to the first quartile of UPFs (TG: OR = 1.71; 95% CI: 1.49-1.97, blood pressure: OR = 1.53; 95% CI: 1.30-1.79, FBS: OR = 1.30; 95% CI: 1.10-1.54, and HDL-C: OR = 1.22; 95% CI: 1.08-1.39). The current research found a relationship between UPF intake and MetS and its components, indicating a diet-containing UPFs can be related to the occurrence of noncommunicable diseases.

Intake of dietary branched-chain amino acids reduces odds of metabolic syndrome: a cross-sectional study on the PERSIAN Kavar cohort study.

Metabolic syndrome (MetS) is identified by the manifestation of a minimum of three out of five metabolic abnormalities, including insulin resistance, hypertension, hypertriglyceridemia, abdominal obesity, and low levels of high-density lipoprotein cholesterol. The present study aimed to assess the association between dietary branched-chain amino acids (BCAA) intakes and MetS, due to available conflicting evidence. A total of 4,860 individuals who had participated in the baseline phase of the PERSIAN (Prospective Epidemiological Research Studies in IrAN) Kavar cohort study were included in our study. The daily intake of valine, leucine, and isoleucine were evaluated using a semi-quantitative food frequency questionnaire. The association between dietary BCAA intake with MetS and its components was evaluated using logistic regression analysis. The mean intake of BCAA among the included subjects was 7.65 (standard deviation [SD]: 2.92), and the prevalence of MetS was found to be 49.2%. Multivariable logistic regression analysis revealed an inverse association between 1-S.D. increment in dietary valine (odds ratio [OR] = 0.85, 95% confidence interval [CI]: 0.78-0.94), leucine (OR = 0.85, 95% CI: 0.77-0.93), isoleucine (OR = 0.84, 95% CI: 0.76-0.93), and total BCAA (OR = 0.85, 95% CI: 0.77-0.93) intake and the odds of MetS. There were also a significant association between BCAA intakes and hyperglycemia and hypertriglyceridemia. We observed a significant inverse association between dietary BCAA intake and MetS, hyperglycemia, and hypertriglyceridemia, regardless of confounding factors.

Association of Serum Beta-Carotene with Metabolic Risk Factors among a Work Cohort in Malaysia.

Metabolic syndrome (MetS) poses increased risks for non-communicable diseases, increasing all-cause mortality, disability, and healthcare costs. Beta-carotene as the major carotenoid is identified to play an important role in the pathophysiology of MetS. The present study aimed to investigate the association between serum beta-carotene levels with metabolic syndrome and metabolic risk factors among a cohort of teachers in Peninsular Malaysia. This cross-sectional study investigated a sub-sample of 645 serum samples which were randomly selected for beta-carotene determination. Socio-demographic, lifestyle and metabolic risk factors were measured following standard protocols. There were equal proportions of males and females, with majority Malays (69%) followed by the Chinese (24%) and Indians (6.5%). The prevalence of MetS was 24.8% with abnormal waist circumference and high blood pressure as the most commonly reported metabolic risk factors. The median serum beta-carotene was 5.15 (5.07) μmol/L. Serum beta-carotene in the lowest quartile (Q1) was found to be significantly associated with MetS (OR: 5.81; 95% CI: 2.96, 11.38) and metabolic risk factors, namely triglycerides (OR: 6.38; 95% CI: 3.04, 13.35), fasting blood sugar (OR: 3.32; 95% CI: 1.48, 7.43), HDL-cholesterol (OR: 2.88; 95% CI: 1.58, 5.26) and waist circumference (OR: 2.94; 95% CI: 1.73, 5.01), after adjusted for potential confounders. In summary, participants with lower serum beta-carotene had higher odds for MetS and the above-mentioned metabolic risk factors.

ACTIGRAPHIC MEASURES OF SLEEP AND METABOLIC SYNDROME AMONG OLDER ADULTS

Abstract Self-reported sleep disturbances are associated with obesity and diabetes, but little is known about links between objectively measured sleep and metabolic syndrome (MetS) in later life. We investigated associations between actigraphic sleep parameters and MetS in 406 participants (53.5% women, 20.9% Black) aged 72.8±10.1 years at baseline (range: 50-96) in the Baltimore Longitudinal Study of Aging. Participants completed wrist actigraphy (6.6±1.0 nights) and were classified as having MetS if they had ≥3 of the following: waist circumference ≥102 cm for men, ≥89 cm for women; high-density lipoproteins &amp;lt; 40 mg/dL in men, &amp;lt; 50 mg/dL in women; triglycerides &amp;gt;150 mg/dL; high blood pressure ≥130/85 mmHg; fasting blood glucose ≥100 mg/dL. Overall, 37 participants had MetS at baseline and 27 participants developed MetS over 2.3±2.2 years of follow-up. Cross-sectionally, compared to participants with total sleep time (TST) &amp;lt; 6 hours, those with 6-8 hours TST had lower odds of MetS (OR=0.28, 95%CI 0.13,0.61); higher sleep efficiency (SE) was associated with lower odds of MetS (OR=0.65, 95%CI 0.48,0.89) and longer wake bout length (WBL) was associated with higher odds of MetS (OR=1.47, 95%CI 1.07,2.01). Excluding 37 participants with MetS at baseline, TST &amp;gt;8 hours was associated with faster increases in the likelihood of developing MetS (OR=1.62, 95% CI 1.03, 2.55). Findings link intermediate TST and higher SE to lower odds of MetS, and longer WBL to higher odds of MetS in older adults cross-sectionally; TST &amp;gt;8 hours was associated with higher odds of incident MetS. Further studies are needed to understand mediators of sleep-MetS associations.

Higher dietary acid load is associated with an increased risk of metabolic syndrome

There have been inconsistent reports regarding the association between dietary acid load and Metabolic Syndrome (MetS). We aimed to investigate the association between dietary acid load and MetS in an Iranian adult population. In this cross-sectional study, 1945 participants aged 35–65 years were recruited from MASHAD cohort study. Dietary intakes were assessed using a 24-h dietary recall. Diet-based acidity was assessed as the net endogenous acid production (NEAP), potential renal acid load (PRAL), and dietary acid load (DAL). To define MetS, the International Diabetes Federation (IDF) criteria were used. Multivariable logistic regression models were applied to determine the association between diet-based acid load scores and MetS. Participants' mean age and BMI were 47.13 ± 7.78 years and 27.57 ± 4.48 kg/m2, respectively. Around 57% of the population was female. Overall, 31.9% had MetS. According to the full-adjusted model, there was a significant association between higher quartiles of PRAL, NEAP, and DAL and MetS (Q4 PRAL; OR (95%CI) 1.42(1.05–1.91), Q4 NEAP; OR (95%CI) 1.48(1.11–1.98), Q4 DAL; OR (95%CI) 1.44(1.05–1.91)). This study showed a significant positive association between different dietary acid load indicators (PRAL, NEAP, and DAL) and odds of MetS among Iranian adults.

Association between dietary insulin index and load with cardiometabolic risk factors and risk of metabolic syndrome among the patients with type 2 diabetes: a cross-sectional study

BackgroundThis study aims to investigate the association between dietary insulin index (DII) and load (DIL) with cardiometabolic risk factors and the risk of developing metabolic syndrome (MetS) among patients with type 2 diabetes (T2DM).MethodsA cross-sectional study was conducted among 500 T2DM patients. Dietary intake was assessed using a validated food frequency questionnaire, and DII and DIL were calculated based on insulin response and energy content. Logistic regression analyses were performed to determine the odds ratios (ORs) for MetS.ResultsParticipants in the highest quartile of DIL had significantly higher odds of MetS (OR: 2.16; 95% CI: 1.02–4.25, P = 0.039) and hyperglycemia (OR: 1.69; 95% CI: 1.08–4.96, P = 0.032). We also discovered that patients in the highest quartile of DII had higher odds of MetS (OR: 1.69; 95% CI: 1.08–4.96, P = 0.034) and hyperglycemia (OR: 1.39; 95% CI: 1.04–4.12, P = 0.019). Furthermore, participants in the highest quartile of DIL (OR: 1.64; 95% CI: 1.00-2.59, P = 0.03) and DII (OR: 1.42; 95% CI: 1.05–1.95, P = 0.026) had higher odds of high waist circumference. When it came to hypertriglyceridemia, we found a significant association between DII and DIL only in the crude model, not the fully adjusted model. However, we didn’t observe any significant association between DII and DIL with hypercholesteremia, Low HDL, and high blood pressure (P > 0.05).ConclusionOur study provides evidence suggesting that a higher DII and DIL may be associated with an increased risk of cardiometabolic risk factors and MetS in patients with T2DM.

The Interaction between CD36 rs1761667 Polymorphism and Dietary Phytochemical Index on the Risk Factors Related to Metabolic Syndrome

Introduction: The aim of the study was to assess the interaction between CD36 rs1761667 and the dietary phytochemical index (DPI) on the risk factors related to metabolic syndrome (MetS) among apparently healthy adults. Methods: This cross-sectional study was conducted on 387 apparently healthy adults (aged 20–70 years) of the recruitment phase of the Yazd Health Study (YaHS). The DPI was calculated using data from a validated and reliable food frequency questionnaire. Genotyping of rs1761667 was performed by the polymerase chain reaction-restriction fragment length polymorphism method. All participants were categorized into two categories, based on DPI scores. The interactions were tested using logistic regression in adjusted and unadjusted models. Results: There was no significant association between CD36 gene polymorphism rs1761667 and MetS components, and also, the DPI score was not associated with the components of MetS. Significant interactions were observed between DPI and rs1761667 polymorphism on the odds of MetS (p = 0.05) and odds of abdominal obesity (p = 0.01) so that higher adherence to this index was associated with a low risk of MetS and abdominal obesity in individuals with AG genotype. In contrast, increased adherence to the DPI was associated with higher odds of abdominal obesity among the AA genotype. Conclusion: The AG genotype appears to be a protective factor against the risk of MetS and abdominal obesity with greater adherence to DPI. However, additional research is needed to elucidate these interactions and the mechanisms behind these associations.

Long-term effects of PM2.5 constituents on metabolic syndrome and mediation effects of serum uric acid

Exposure to particulate matter with aerodynamic diameter ≤2.5 μm (PM2.5) was associated with the risk for metabolic syndrome (MetS) in the general population, but the contributions of individual PM2.5 constituents to this association and the potential pathway between PM2.5 constituents and MetS risk are not well elaborated. This study aimed to investigate associations between PM2.5 constituents and MetS in general populations, relative importance of PM2.5 constituents to and mediation effects of serum uric acid (SUA) on those associations. The 48,148 participants from a provincially representative cohort established in southwest China were included. The 3-year average concentrations of PM2.5 and its constituents (nitrate [NO3−], sulfate [SO42−], ammonium [NH4+], organic matter [OM], and black carbon [BC]) were estimated using a series of machine-learning models. Multivariate logistic regression and weighted quantile sum regression were used to estimate effects of independent PM2.5 constituents on MetS and their contributions to the joint effect. Mediation analysis examined the potential mediation effects of SUA on the associations between PM2.5 constituents and MetS. Each interquartile range (IQR) increase in the concentration of PM2.5 constituents was all positively associated with the increased MetS odds, including SO42− (OR = 1.15 [1.11, 1.19]]), NO3− (OR = 1.12 [1.08, 1.16]), NH4+ (OR = 1.13 [1.09, 1.17]), OM (OR = 1.09 [1.06, 1.13]), and BC (OR = 1.09 [1.06, 1.13]). Their joint associations on MetS were mainly attributed to SO42− (weight=46.1%) and NH4+ (44.0%). The associations of PM2.5 constituents with abnormal MetS components were mainly attributed to NH4+ for elevated BP (51.6%) and reduced HDL-C (97.0%), SO42− for elevated FG (68.9%), NO3- for elevated TG (51.0%), and OM for elevated WC (63.0%). Percentages mediated by SUA for the associations of PM2.5, SO42−, NO3−, and BC with MetS were 13.6%, 13.1%, 10.6%, and 11.1%, respectively. Long-term exposure to PM2.5 constituents, mainly NH4+ and SO42−, was positively associated with MetS odds, partially mediated by SUA.

Association of Blood Calcidiol Levels and Metabolic Syndrome in Children and Adolescents With Vitamin D Deficiency.

This retrospective cohort study aimed to determine whether severe calcidiol deficiency [25-hydroxyvitamin (OH)D <30 nmol/L] improvement has a beneficial effect on cardiometabolic parameters in children and adolescents (5-17 years) with or without metabolic syndrome (MetS). Logistic regression analysis was performed to test for multivariate associations between potential confounders and changes in vitamin D (VD) status from baseline to follow-up care when predicting binary categorical outcomes. Of 562 participants, 146 (26%) had MetS. Individuals with severe VD deficiency (VDD) were more likely to have MetS with elevated blood pressure than those with sufficient (≥75 nmol) VD levels (adjusted odds ratio [AOR], 4.46; 1.08-18.43; p < .05) at follow-up. In the logistic regression model, every unit increase in VD across time decreased the odds of MetS (AOR, 0.98; 95% confidence interval: [0.96, 0.99]; p < .05). Improvement in VD status demonstrated a beneficial metabolic effect in children and adolescents with severe VDD.

Association of Anthropometric Measures with cardiovascular risk features in children and teenagers in Albania

Abstract We performed this study to establish the association among anthropometric amplitudes with cardiovascular hazard aspects and metabolic syndrome (MetS) in normal-weight Albanian children and adolescents. We examined the data of 3,658 children and adolescents (46.8% boys), aged 10-17 years, with a normal BMI (4th-83th percentile) obtained from a ‘Childhood and Adolescence Monitoring and Prevention of Adult Non-communicable Disease’ study. The International Diabetes Federation agreement classified the diagnostic criteria for MetS. The prevalence of MetS for 10- to 12.5-year-old boys, 14- to 17-year-old boys, 10- to 13.7-year-old girls, and 14- to 17-year-old girls were 1.3, 2.4, 2.1, and 2.9%, correspondingly. After adjusting age and sex, each item’s expansion in BMI (within normal range) and waist circumference enhanced the odds of MetS from 4 to 65 % and from 1 to 17 %, consequently. The main pattern of dyslipidemia among the respondents was elevated triglycerides and low high-density lipoprotein cholesterol. Our study strengthened the latest research on the elevated frequency of metabolic risk factors among normal-weight individuals in the pediatric age group.

Associations and predictive power of dietary patterns on metabolic syndrome and its components

Background and aimsMetabolic syndrome (MetS) defines important risk factors in the development of cardiovascular diseases and other serious health conditions. This study aims to investigate the influence of different dietary patterns on MetS and its components, examining both associations and predictive performance. Methods and resultsThe study sample included 10,750 participants from the seventh survey of the cross-sectional, population-based Tromsø Study in Norway. Diet intake scores were used as covariates in logistic regression models, controlling for age, educational level and other lifestyle variables, with MetS and its components as response variables. A diet high in meat and sweets was positively associated with increased odds of MetS and elevated waist circumference, while a plant-based diet was associated with decreased odds of hypertension in women and elevated levels of triglycerides in men. The predictive power of dietary patterns derived by different dimensionality reduction techniques was investigated by randomly partitioning the study sample into training and test sets. On average, the diet score variables demonstrated the highest predictive power in predicting MetS and elevated waist circumference. The predictive power was robust to the dimensionality reduction technique used and comparable to using a data-driven prediction method on individual food variables. ConclusionsThe strongest associations and highest predictive power of dietary patterns were observed for MetS and its single component, elevated waist circumference.