The Association Between Habitual Avocado Intake and Metabolic Syndrome (P08-035-19)

Abstract Objectives To assess the relationship between habitual avocado intake, and cardiometabolic risk factors and metabolic syndrome (MetS). We hypothesized that regular avocado intake is associated with a lower occurrence of elevated blood glucose (BG), TG, blood pressure (BP), and waist circumference (WC), and/or decreased HDL-cholesterol (HDL-C). Methods This cross-sectional analysis was done on a random sample (n = ∼850) of subjects from the Adventist Health Study-2 cohort. Diet was assessed using a quantitative FFQ, which included an item for avocado/guacamole intake. Avocado intake (g/day) was calculated: f * s * n where f = the weighted frequency of avocado; s = the weighted portion size of avocado; and n = standard serving size (32 g) of avocado. FFQ data was also used to calculate total energy intake. Medication use, fasting BG, TG, HDL-C, BP, and WC were assessed during clinics. MetS was defined as follows: ≥3 of the diagnostic criteria defined by the Adult Treatment Panel III. Descriptive statistics including differences of means were analyzed. Logistic regression was used to determine the odds of metabolic syndrome for non-consumers (0 g/day; reference) versus consumers (>0 g/day; 51% of subjects) of avocado. Covariates were measured via a questionnaire: age, gender, race, education, energy intake, and dietary patterns. Results The odds for MetS for avocado consumers was non-significantly lower compared to nonconsumers: OR (95% CI) 0.87 (0.58, 1.30). Mean diastolic BP and WC were significantly lower among avocado consumers compared to nonconsumers. Mean HDL-C, TG, BG, and systolic BP did not differ between groups. Conclusions No relationship between habitual avocado intake and MetS has been found. However, there may be an inverse relationship between avocado intake and specific cardiometabolic risk factors: diastolic BP and WC. Funding Sources Hass Avocado Board, NIH, National Cancer Institute.

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CARDIORESPIRATORY FITNESS AND CARDIOMETABOLIC RISK FACTORS AMONG UNIVERSITY PROFESSORS

Revista Brasileira de Medicina do Esporte ◽

10.1590/1517-869220182402171631 ◽

2018 ◽

Vol 24 (2) ◽

pp. 102-106

Author(s):

Jaqueline de Oliveira Santana ◽

Juliana Vaz de Melo Mambrini ◽

Sérgio Viana Peixoto

Keyword(s):

Risk Factors ◽

Cardiorespiratory Fitness ◽

Cardiometabolic Risk ◽

Strong Association ◽

Protein Body ◽

Hdl Cholesterol ◽

Work Capacity ◽

Cardiometabolic Risk Factors ◽

Level Of Evidence ◽

Cross Sectional

ABSTRACT Introduction: Cardiorespiratory fitness (CF) is associated with mortality and the development of cardiovascular disease, in addition to being related to work capacity. Objectives: This study aimed to verify the demographic, cardiometabolic and behavioral factors associated with CF in a representative sample of professors from a public university in Minas Gerais, Brazil. Methods: This is a cross-sectional study which evaluated, in addition to the CF, age, sex, glycemia, triglycerides, LDL and HDL cholesterol, C-reactive protein, body mass index (BMI), waist circumference, and physical activity (PA). The association between CF and cardiometabolic risk factors was estimated by logistic regression to obtain the odds ratios and respective confidence intervals (95%). Results: After adjustment, it was observed that professors with lower levels of CF were older, female, had higher BMI and a greater chance of being physically inactive. Conclusion: In general, the results show that the probability of low CF increases with the increase in BMI, in addition to the strong association with PA practice, which is a major focus of intervention measures aimed at improving workers health and their work capacity. Level of Evidence III; Case control study.

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Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

Public Health Nutrition ◽

10.1017/s1368980009991637 ◽

2009 ◽

Vol 13 (4) ◽

pp. 488-495 ◽

Cited By ~ 10

Author(s):

Ahmet Selçuk Can ◽

Emine Akal Yıldız ◽

Gülhan Samur ◽

Neslişah Rakıcıoğlu ◽

Gülden Pekcan ◽

...

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Risk Factor ◽

Cardiometabolic Risk ◽

Roc Curves ◽

Cross Sectional Study ◽

Cardiometabolic Risk Factors ◽

Youden Index ◽

Cross Sectional ◽

Men And Women

AbstractObjectiveTo identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults.DesignCross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating characteristic (ROC) curves were prepared by plotting 1 − specificity on the x-axis and sensitivity on the y-axis. The WHtR value that had the highest Youden index was selected as the optimal cut-off point for each cardiometabolic risk factor (Youden index = sensitivity + specificity − 1).SettingTurkey, 2003.SubjectsAdults (1121 women and 571 men) aged 18 years and over were examined.ResultsAnalysis of ROC coordinate tables showed that the optimal cut-off value ranged between 0·55 and 0·60 and was almost equal between men and women. The sensitivities of the identified cut-offs were between 0·63 and 0·81, the specificities were between 0·42 and 0·71 and the accuracies were between 0·65 and 0·73, for men and women. The cut-off point of 0·59 was the most frequently identified value for discrimination of the studied cardiometabolic risk factors. Subjects classified as having WHtR ≥ 0·59 had significantly higher age and sociodemographic multivariable-adjusted odds ratios for cardiometabolic risk factors than subjects with WHtR < 0·59, except for diabetes in men.ConclusionsWe show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0·59 in Turkish adults.

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Irregularity of energy intake at meals: prospective associations with the metabolic syndrome in adults of the 1946 British birth cohort

British Journal Of Nutrition ◽

10.1017/s0007114515004407 ◽

2015 ◽

Vol 115 (2) ◽

pp. 315-323 ◽

Cited By ~ 8

Author(s):

Gerda K. Pot ◽

Rebecca Hardy ◽

Alison M. Stephen

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Waist Circumference ◽

Energy Intake ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Logistic Regression Models ◽

The Metabolic Syndrome ◽

Increased Risk ◽

Health And Development

AbstractIrregularity in eating patterns could be a potential cardiometabolic risk factor. We aimed to study the associations of irregular intake of energy at meals in relation to cardiometabolic risk factors 10 and 17 years later. Variability of energy intake data – derived from 5-d estimated diet diaries of cohort members of the National Survey for Health and Development collected at ages 36 (n1416), 43 (n1505) and 53 years (n1381) – was used as a measure for irregularity. Associations between meal irregularity scores with cardiometabolic risk factors measured 10 and 17 years later were investigated using linear mixed models and logistic regression models. The results showed that irregularity scores changed significantly over the years (P<0·05). At age 36 years, subjects with a more irregular intake of energy at lunch (OR 1·42; 95 % CI 1·05, 1·91) and between meals (OR 1·35; 95 % CI 1·01, 1·82) had an increased risk for the metabolic syndrome 17 years later; at lunch was also associated with an increased waist circumference (OR 1·58; 95 % 1·27, 1·96) and TAG levels (OR 1·33; 95 % CI 1·02, 1·72). At age 43 years, subjects with a more irregular intake at breakfast had an increased risk of the metabolic syndrome 10 years later (OR 1·53; 95 % CI 1·15, 2·04), as well as an increased BMI (OR 1·66; 95 % CI 1·31, 2·10), waist circumference (OR 1·53; 95 % CI 1·23, 1·90) and diastolic blood pressure (OR 1·42; 95 % CI 1·13, 1·78). In conclusion, subjects with a more irregular intake of energy, mostly at breakfast and lunch, appeared to have an increased cardiometabolic risk 10 and 17 years later.

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Metabolic Syndrome Knowledge among Adults with Cardiometabolic Risk Factors: A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16010159 ◽

2019 ◽

Vol 16 (1) ◽

pp. 159 ◽

Cited By ~ 3

Author(s):

Qun Wang ◽

Sek Ying Chair ◽

Eliza Mi-Ling Wong ◽

Ruth E. Taylor-Piliae ◽

Xi Chen Hui Qiu ◽

...

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Formal Education ◽

Cardiometabolic Risk ◽

Density Lipoprotein ◽

Cross Sectional Study ◽

Cardiometabolic Risk Factors ◽

Cross Sectional ◽

Lipid Management ◽

History Of

Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors. Many people may be unaware of their risk for MetS. A cross-sectional, descriptive study was conducted among hospitalized patients with at least one cardiometabolic risk factor in Mainland China. This study assessed the MetS knowledgelevel(through MetS Knowledge Scale, MSKS) and examined the potential predictors by regression analysis. A total of 204 patients aged 58.5 ± 10.1 years (55% males) participated in this study. The majority of participants had no history of hypertension (54%), dyslipidemia (79%), or diabetes (85%). However, 56% of these participants had at least three cardiometabolic risk factors, indicating the presence of MetS. The average MSKS was very low (mean = 36.7±18.8, possible range = 0–100), indicating the urgent needs of MetS education in current practice. Predictors of better MetS knowledge included higher educational level, history of dyslipidemia, and normal high-density lipoprotein cholesterol (F (8, 195) = 9.39, adjusted R2 = 0.192, p< 0.001). In conclusion, adults with cardiometabolic risk factors are at risk of developing MetS, but with a low level of knowledge. Specific health education on MetS should be provided, particularly for those with limited formal education or inadequate lipid management.

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Is there an association between metabolic syndrome and rotator cuff-related shoulder pain? A systematic review

BMJ Open Sport & Exercise Medicine ◽

10.1136/bmjsem-2019-000544 ◽

2019 ◽

Vol 5 (1) ◽

pp. e000544 ◽

Cited By ~ 1

Author(s):

Graham Burne ◽

Michael Mansfield ◽

Jamie E Gaida ◽

Jeremy S Lewis

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Metabolic Syndrome ◽

Rotator Cuff ◽

Shoulder Pain ◽

Cardiometabolic Risk ◽

Case Control ◽

Cardiometabolic Risk Factors ◽

Cross Sectional ◽

Moderate Quality

ObjectivesRotator cuff-related shoulder pain (RCRSP) is a common upper limb complaint. It has been suggested that this condition is more common among people with cardiometabolic risk factors. This systematic review has synthesised evidence from case–control, cross-sectional and cohort studies on the association between metabolic syndrome (MetS) and RCRSP.Design and data sourcesFive medical databases (MEDLINE, EMBASE, SCOPUS, CINAHL and AMED) and reference checking methods were used to identify all relevant English articles that considered MetS and RCRSP. Studies were appraised using the Newcastle-Ottawa Scale (NOS). Two reviewers performed critical appraisal and data extraction. Narrative synthesis was performed via content analysis of statistically significant associations.ResultsThree cross-sectional, two case–control and one cohort study met the inclusion criteria, providing a total of 1187 individuals with RCRSP. Heterogeneity in methodology and RCRSP or MetS definition precluded a meaningful meta-analysis. Four of the included studies identified associations between the prevalence of MetS and RCRSP. Studies consistently identified independent cardiometabolic risk factors associated with RCRSP. All studies were level III evidence.Summary and conclusionThe low-moderate quality evidence included in this review suggests an association between MetS and RCRSP. Most studies demonstrated moderate quality on appraisal. The direction of association and cardiometabolic factors influencing should be investigated by longitudinal and treatment studies. These preliminary conclusions and clinical utility should be treated with caution due to limitations of the evidence base.

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Cross-Sectional Assessment of Nut Consumption and Obesity, Metabolic Syndrome and Other Cardiometabolic Risk Factors: The PREDIMED Study

PLoS ONE ◽

10.1371/journal.pone.0057367 ◽

2013 ◽

Vol 8 (2) ◽

pp. e57367 ◽

Cited By ~ 69

Author(s):

Núria Ibarrola-Jurado ◽

Mònica Bulló ◽

Marta Guasch-Ferré ◽

Emilio Ros ◽

Miguel A. Martínez-González ◽

...

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Cross Sectional ◽

Predimed Study

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Trends in known and undiagnosed diabetes, HbA1c levels, cardiometabolic risk factors and diabetes treatment target achievement in repeated cross-sectional surveys: the population-based Tromsø Study 1994–2016

BMJ Open ◽

10.1136/bmjopen-2020-041846 ◽

2021 ◽

Vol 11 (3) ◽

pp. e041846

Author(s):

Petja Lyn Langholz ◽

Tom Wilsgaard ◽

Inger Njølstad ◽

Rolf Jorde ◽

Laila Arnesdatter Hopstock

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Cardiometabolic Risk ◽

Population Based ◽

Cardiometabolic Risk Factors ◽

Undiagnosed Diabetes ◽

Cross Sectional ◽

Treatment Target ◽

The Metabolic Syndrome ◽

Hba1c Levels

ObjectivesThe aim of this study was to investigate time trends in known and undiagnosed diabetes, glycated haemoglobin (HbA1c) levels and other cardiometabolic risk factors in the general population as well as treatment target achievement among those with diabetes.Design and settingRepeated cross-sectional surveys in the population-based Tromsø Study.MethodsWe used age-adjusted generalised estimating equation models to study trends in self-reported and undiagnosed (HbA1c ≥6.5%) diabetes, cardiometabolic risk factors and the metabolic syndrome in 27 281 women and men aged 40–84 years examined in up to four surveys of the Tromsø Study between 1994 and 2016. Further, we analysed trends in diabetes treatment target achievement.ResultsDuring 1994–2016, diabetes prevalence increased in women (2.3% to 4.6%) and men (2.4% to 5.8%) and in all age groups, while the proportion of undiagnosed diabetes in women (32% to 17%) and men (37% to 24%) decreased. Blood pressure and total cholesterol decreased, while waist circumference increased in participants with and without diabetes, leading to a relatively stable prevalence of the metabolic syndrome throughout the study period. There was a marginal increase in HbA1c levels among participants without diabetes. Only half of those with diabetes achieved the treatment target of HbA1c ≤7.0%.ConclusionIn the last two decades, diabetes prevalence increased, while the proportion of undiagnosed diabetes declined. The prevalence of the metabolic syndrome remained stable throughout, driven by opposing trends with an increase in obesity and a decrease in other cardiometabolic risk factors. HbA1c treatment target achievement did not improve.

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Examining the Interaction of the Gut Microbiome with Host Metabolism and Cardiometabolic Health in Metabolic Syndrome

Nutrients ◽

10.3390/nu13124318 ◽

2021 ◽

Vol 13 (12) ◽

pp. 4318

Author(s):

Serena Galié ◽

Christopher Papandreou ◽

Pierre Arcelin ◽

David Garcia ◽

Antoni Palau-Galindo ◽

...

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Cardiometabolic Risk ◽

Adult Population ◽

Cardiometabolic Risk Factors ◽

Plasma Metabolites ◽

Cardiometabolic Health ◽

Cross Sectional ◽

Generalized Canonical Correlation Analysis ◽

Positive Correlations

(1) Background: The microbiota-host cross-talk has been previously investigated, while its role in health is not yet clear. This study aimed to unravel the network of microbial-host interactions and correlate it with cardiometabolic risk factors. (2) Methods: A total of 47 adults with overweight/obesity and metabolic syndrome from the METADIET study were included in this cross-sectional analysis. Microbiota composition (151 genera) was assessed by 16S rRNA sequencing, fecal (m = 203) and plasma (m = 373) metabolites were profiled. An unsupervised sparse generalized canonical correlation analysis was used to construct a network of microbiota-metabolite interactions. A multi-omics score was derived for each cluster of the network and associated with cardiometabolic risk factors. (3) Results: Five multi-omics clusters were identified. Thirty-one fecal metabolites formed these clusters and were correlated with plasma sphingomyelins, lysophospholipids and medium to long-chain acylcarnitines. Seven genera from Ruminococcaceae and a member from the Desulfovibrionaceae family were correlated with fecal and plasma metabolites. Positive correlations were found between the multi-omics scores from two clusters with cholesterol and triglycerides levels. (4) Conclusions: We identified a correlated network between specific microbial genera and fecal/plasma metabolites in an adult population with metabolic syndrome, suggesting an interplay between gut microbiota and host lipid metabolism on cardiometabolic health.

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Relationship of TSH levels with cardiometabolic risk factors in US youth and reference percentiles for thyroid function

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/clinem/dgaa900 ◽

2020 ◽

Author(s):

Xinlei Chen ◽

Shuliang Deng ◽

Cecilia Sena ◽

Chuhan Zhou ◽

Vidhu V Thaker

Keyword(s):

Risk Factors ◽

Insulin Resistance ◽

Abdominal Obesity ◽

Cardiometabolic Risk ◽

Hdl Cholesterol ◽

Cross Sectional Study ◽

Cardiometabolic Risk Factors ◽

Cross Sectional ◽

Low Hdl ◽

Tsh Levels

Abstract Context Thyroid hormones play an important role in the metabolic homeostasis and higher levels have been associated with cardiometabolic risk. Objective To examine the association of cardiometabolic risk factors with TSH levels in US youth. Design & Setting Cross-sectional study of youth aged 12-18 years without known thyroid abnormalities from five National Health and Nutrition Examination Survey cycles (n=2,818) representing 15.4 million US children. Subclinical hypothyroidism (SH) was defined as TSH levels 4.5-10 mIU/L. Assessed cardiometabolic risk factors include abdominal obesity (waist circumference > 90 th percentile), hypertriglyceridemia (TG ≥130 mg/dL), low HDL cholesterol (HDL-C < 40 mg/dL), elevated blood pressure (SBP and DBP ≥90 th percentile), hyperglycemia (FBG ≥100 mg/dL, or known diabetes), insulin resistance (HOMA-IR > 3.16) and elevated alanine transferase (ALT ≥ 50 U/L for boys and ≥ 44 U/L for girls). Age and sex- specific percentiles for thyroid parameters were calculated. Results In this cohort of youth (51.3% male), 31.2% had overweight/obesity. The prevalence of SH was 2.0 % (95% CI 1.2-3.1). The median TSH levels were higher in youth with overweight/obesity (p<.001). Adjusting for age, sex, race/ethnicity and obesity, youth with TSH in the 4 th quantile had higher odds of abdominal obesity (OR 2.53 [1.43-4.46], p = .002), insulin resistance (OR 2.82 [1.42-5.57], p=.003) and ≥ 2 CMRF (OR 2.20 [1.23-3.95], p=.009). Conclusions The prevalence of SH is low in US youth. The higher odds of insulin resistance and cardiometabolic risk factors in youth with TSH levels > 75 th percentile requires further study.

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Accuracy of plasma interleukin-18 and adiponectin concentrations in predicting metabolic syndrome and cardiometabolic disease risk in middle-age Brazilian men

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2014-0487 ◽

2015 ◽

Vol 40 (10) ◽

pp. 1048-1055 ◽

Cited By ~ 1

Author(s):

Alessandro de Oliveira ◽

Helen Hermana Hermsdorff ◽

Paula G. Cocate ◽

Eliziaria C. Santos ◽

Josefina Bressan ◽

...

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Central Obesity ◽

Cardiometabolic Risk ◽

Disease Risk ◽

Activity Level ◽

Cardiometabolic Risk Factors ◽

Interleukin 18 ◽

Middle Aged ◽

Cross Sectional

The aims of this cross-sectional study were to explore the ability of serum interleukin 18 (IL-18) and adiponectin to identify metabolic syndrome (MetS), and to verify their association with an index of central lipid overaccumulation (lipid accumulation product (LAP)) and cardiometabolic risk factors in a population of middle-aged Brazilian men. A group of 218 apparently healthy middle-aged Brazilian men (age, 50.3 ± 4.97 years) underwent anthropometric, clinical, sociodemographic, and standard serum biochemical assessments. LAP was calculated and the study participants were categorized into 3 groups according to serum IL-18 and adiponectin cut-points tertiles to verify the association of these biomarkers with cardiometabolic risk factors. The MetS group had more less active (p = 0.03) and obese (p < 0.01) individuals who exhibited higher IL-18 (p < 0.01) and lower adiponectin (p < 0.01) than did those in the group with no MetS. After adjustments (age, smoking, alcohol consumption, physical activity level, and total body fat), serum IL-18 ≥ 336.4 pg/mL was an independent factor for MetS occurrence and it was directly associated with LAP (≥51.28), central obesity, hypertriglyceridemia, and hypertension (p < 0.05), but not with high-density lipoprotein cholesterol (HDL-C). Serum adiponectin ≥ 7.02 μg/mL was negatively associated with MetS occurrence, LAP, hypertriglyceridemia, and low HDL-C (p < 0.05), but not with central obesity and hypertension. In conclusion, both IL-18 and adiponectin demonstrated the ability to identify MetS in this population, with IL-18 being more accurate. The association of these biomamarkers with LAP and cardiometabolic risk factors highlights its relevance as a diagnostic tool.

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