Family History of Premature Coronary Artery Disease (P-CAD)—A Non-Modifiable Risk Factor? Dietary Patterns of Young Healthy Offspring of P-CAD Patients: A Case-Control Study (MAGNETIC Project)

Osadnik, Tadeusz; Pawlas, Natalia; Lonnie, Marta; Osadnik, Kamila; Lejawa, Mateusz; Wądołowska, Lidia; Bujak, Kamil; Fronczek, Martyna; Reguła, Rafał; Gawlita, Marcin; Strzelczyk, Joanna Katarzyna; Góral, Marta; Gierlotka, Marek; Poloński, Lech; Gąsior, Mariusz

doi:10.3390/nu10101488

Cited by 19 publications

(24 citation statements)

References 42 publications

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“…The use of a data-driven approach facilitated the identification of new, unique patterns of dietary and lifestyle behaviours in young men. Surprisingly, in this sex-and age-specific sample, dietary behaviours were not entirely comparable with dietary patterns that were previously described in the literature (such as "Western" or "Traditional" pattern) [30,31]. Only the dietary components of "Healthy diet, active at work, past smokers" DLP were consistent with the composition of a dietary pattern commonly labelled as "Prudent" [32,33].…”

Section: Discussioncontrasting

confidence: 60%

Dietary-Lifestyle Patterns Associated with Adiposity and Metabolic Abnormalities in Adult Men under 40 Years Old: A Cross-Sectional Study (MeDiSH Project)

Lonnie

Wądołowska

Bandurska-Stankiewicz

2020

Nutrients

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The aim of this study was to examine the associations of dietary-lifestyle patterns (DLPs) with adiposity and metabolic abnormalities in adult Polish men that were under 40. The cross-sectional study included 358 men that were 19–40-year-old. Dietary and lifestyle data were collected with multicomponent food frequency questionnaire (KomPAN®). DPLs were derived with Principal Component Analysis (PCA) using 25 dietary and six lifestyle as the input variables. Adiposity was determined with the use of: overweight (body mass index 25–29.9 kg/m2), central obesity (waist-to-height ratio ≥ 0.5), general obesity (body fat ≥ 25%), excessive visceral fat tissue (≥ median), and increased skeletal muscle mass (≥ median). The metabolic abnormalities were characterised by elevated: fasting blood glucose (FBG ≥ 100 mg/dL), triglycerides (TG ≥ 150 mg/dL), total cholesterol (TC ≥ 200 mg/dL), or systolic or diastolic blood pressure (≥ 130 or ≥ 85 mmHg, respectively). Four PCA-driven DLPs were derived and labelled accordingly to the most characteristic dietary or lifestyle behaviours that were correlated with each pattern. Multivariate logistic regression revealed that higher adherence (upper vs. bottom tertile as referent) to “Protein food, fried-food, and recreational physical activity” pattern was associated with higher odds of overweight and increased skeletal muscle mass, and lower odds of: general obesity, excessive visceral fat tissue, and elevated TC. Higher adherence to “Healthy diet, active, past smokers” pattern was associated with higher odds of overweight and lower odds of: general obesity, excessive visceral fat tissue, and elevated FBG. Higher adherence to “Sandwiches and convenient diet” pattern was associated with higher odds of: central obesity, general obesity, excessive visceral fat tissue, elevated TC, elevated TG, occurrence at least two metabolic abnormalities, and lower odds of increased skeletal muscle mass. A higher adherence to “Fast foods and stimulants” pattern was associated with higher odds of central obesity, general obesity, excessive visceral fat tissue, and lower odds of increased skeletal muscle mass. The interrelations between diet and lifestyle behaviours were reflected in three out of four patterns. Healthy diet attempts combined with active lifestyle was associated with reduced risk of adiposity and metabolic abnormalities despite some unhealthy components, like former smoking or fried-food consumption. In contrary, patterns that were composed of undesirable dietary behaviours solely, as well as poor diet combined with stimulant use, were associated with higher adiposity and worse metabolic health, despite the relatively young age of the study participants. Accurate mapping of dietary-lifestyle behaviours can serve as a tool for formulating evidence-based recommendations.

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Section: Discussioncontrasting

confidence: 60%

Dietary-Lifestyle Patterns Associated with Adiposity and Metabolic Abnormalities in Adult Men under 40 Years Old: A Cross-Sectional Study (MeDiSH Project)

Lonnie

Wądołowska

Bandurska-Stankiewicz

2020

Nutrients

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“…more frequently eat fruit and vegetables, and less likely to opt for foods high in fat [64]. The potential explanation includes genetic susceptibility or lifestyle factors; often, unhealthy lifestyle habits acquired at family home, track to adulthood [26]. An interesting finding was, that in the univariate model, high level of leisure time physical activity was associated with higher risk of MS (Fig.…”

Section: Discussionmentioning

confidence: 96%

“…Participants in this study were subjects from the MAG-NETIC (Metabolic and Genetic Profiling of Young Adults with and without a Family History of Premature Coronary Heart Disease) study. The design and methodology of the study have been described previously [25,26]. For the purpose of the current study, the sample was recruited between July 2015 and December 2017 ( Fig.…”

Section: Study Sample and Recruitmentmentioning

confidence: 99%

Metabolically healthy obese and metabolic syndrome of the lean: the importance of diet quality. Analysis of MAGNETIC cohort

Osadnik

Lonnie

et al. 2020

Nutr J

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Background: Obesity is considered as an indispensable component of metabolic health assessment and metabolic syndrome diagnosis. The associations between diet quality and metabolic health in lean, young adults have not been yet established whilst data addressing this issue in overweight and obese subjects is scarce. Our analysis aimed to establish the link between diet quality (measured with data-driven dietary patterns and diet quality scores) and metabolic syndrome (MS) in young adults, regardless of their adiposity status. Methods: A total of 797 participants aged 18-35 years old were included in the study. Participants were assigned into metabolic syndrome (MS) group if at least two abnormalities within the following parameters were present: blood pressure, triglycerides, total cholesterol, HDL cholesterol, blood glucose. Participants with one or none abnormalities were considered as metabolically healthy subjects (MH), Diet quality was assessed with two approaches: 1) a posteriori by drawing dietary patterns (DPs) with principal component analysis (PCA) and 2) a priori by establishing diet quality scores and the adherence to pro-Healthy-Diet-Index (pHDI) and non-Healthy-Diet-Index (nHDI). Logistic regression with backward selection based on Akaike information criterion was carried out, to identify factors independently associated with metabolic health. Results: Within the MS group, 31% were of normal weight. Three PCA-driven DPs were identified, in total explaining 30.0% of the variance: "Western" (11.8%), "Prudent" (11.2%) and "Dairy, breakfast cereals & treats" (7.0%). In the multivariate models which included PCA-driven DPs, higher adherence to middle and upper tertiles of "Western" DP (Odds Ratios [OR] and 95% Confidence Intervals [95% CI]: 1.72, 1.07-2.79 and 1.74, 1.07-2.84, respectively), was associated with MS independently of clinical characteristics including BMI and waist-hip ratio (WHR). Similar results were obtained in the multivariate model with diet quality scores-MS was independently associated with higher scores within nHDI (2.2, 0.92-5.28). Conclusions: Individuals with MS were more likely to adhere to the western dietary pattern and have a poor diet quality in comparison to metabolically healthy peers, independently of BMI and WHR. It may imply that diet composition, as independent factor, plays a pivotal role in increasing metabolic risk. Professional dietary advice should be offered to all metabolically unhealthy patients, regardless of their body mass status.

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“…The study group consisted of individuals aged 18-35 years from the MAGNETIC (Metabolic And GeNETic Profiling of Young Adults with and without a Family History of Premature Coronary Heart Disease) project, who were healthy descendants of patients hospitalised in the Silesian Centre for Heart Diseases because of premature coronary artery disease (myocardial infarction or angiographically confirmed stable coronary artery disease that occurred before age 55 years in men and before 65 years in women) [20,21]. The study flow chart is shown in Figure 1.…”

Section: Study Groupmentioning

confidence: 99%

Novel inflammatory biomarkers may reflect subclinical inflammation in young healthy adults with obesity

Osadnik

Bujak

Osadnik

et al. 2019

Endokrynologia Polska

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Introduction: Obesity is often accompanied by low-grade inflammation. In recent years a few blood-based inflammatory markers-neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR), lymphocyteto-monocyte ratio (LMR), and monocyte-to-high-density lipoprotein ratio (MHR)-have been identified. They have been proven to correlate well with established inflammatory markers such as hsCRP and have a prognostic value among others in patients with coronary artery disease, heart failure, and malignancies. The aim of the study was to find markers associated with obesity in young heathy adults. Material and methods: The study group included 321 young healthy adults aged 18-35 years (210 males and 111 females). Partial least squares regression analysis was used to find variables associated with body mass index (BMI). Analysed variables included complete blood count, lipid profile, sex hormone levels, acute-phase protein levels, and blood-based inflammatory markers. Results: Variables with the strongest association with BMI in the group of men were HDL% and apolipoprotein B, and in the group of women, HDL, HDL%, triglycerides, and MHR. Novel inflammatory markers were not associated with BMI, except MHR. We found significant (p < 0.001) correlations between novel biomarkers (NLR, dNLR) and hsCRP and fibrinogen levels in the group of subjects with obesity. Conclusions: Blood-based inflammatory markers significantly correlate with hsCRP and fibrinogen in young healthy adults with obesity, which may reflect the subclinical inflammation in this group of individuals.

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Family History of Premature Coronary Artery Disease (P-CAD)—A Non-Modifiable Risk Factor? Dietary Patterns of Young Healthy Offspring of P-CAD Patients: A Case-Control Study (MAGNETIC Project)

Cited by 19 publications

References 42 publications

Dietary-Lifestyle Patterns Associated with Adiposity and Metabolic Abnormalities in Adult Men under 40 Years Old: A Cross-Sectional Study (MeDiSH Project)

Dietary-Lifestyle Patterns Associated with Adiposity and Metabolic Abnormalities in Adult Men under 40 Years Old: A Cross-Sectional Study (MeDiSH Project)

Metabolically healthy obese and metabolic syndrome of the lean: the importance of diet quality. Analysis of MAGNETIC cohort

Novel inflammatory biomarkers may reflect subclinical inflammation in young healthy adults with obesity

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