Seasonality of nutrient intake – An analysis including over 44,000 participants in 4 countries

Marti-Soler, Helena; Guessous, Idris; Gaspoz, Jean-Michel; Metcalf, Patricia; Deschamps, Valérie; Castetbon, Katia; Malyutina, Sofia; Bobak, Martin; Ruidavets, Jean-Bernard; Bongard, Vanina; Ferrières, Jean; Vollenweider, Peter; Marques-Vidal, Pedro

doi:10.1016/j.clnesp.2017.05.003

Cited by 5 publications

(4 citation statements)

References 25 publications

(20 reference statements)

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“…their resilience) to provocative variations in climatic/environmental conditions. Behavioural seasonality has been demonstrated in several studies [27,28], where peaks in alcohol consumption and energy intake (including increases in fat-intake) and troughs in physical activity levels, occur in the cooler months; coinciding with winter peaks in cardiovascular events [20,29,30]. While excessive alcohol consumption has been directly linked to the onset of AF [31], poorer lipid profiles and increased oxidative stress, in conjunction with other "protective" mechanisms (i.e.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and profile of “seasonal frequent flyers” with chronic heart disease: Analysis of 1598 patients and 4588 patient-years follow-up

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Chan

Hawley

et al. 2019

International Journal of Cardiology

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Section: Discussionmentioning

confidence: 99%

Prevalence and profile of “seasonal frequent flyers” with chronic heart disease: Analysis of 1598 patients and 4588 patient-years follow-up

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Chan

Hawley

et al. 2019

International Journal of Cardiology

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“…In addition, the keyword “typical day” when assessing dietary habits was not defined using a specific period (e.g., last seven days, last month, or last year). While dietary intake may vary because of seasonality in some populations, an analysis using data from Swiss studies determined that seasonality decreased in the last decades and may not play a significant role today ( 44 ). A limitation of our analyses is that we did not define limits of agreement a priori based on biologically and analytically relevant criteria, as has been suggested for the Bland–Altman plot system by Giavarina ( 45 ).…”

Section: Discussionmentioning

confidence: 99%

Validation of a Visually Aided Dietary Assessment Tool to Estimate Dietary Intake in an Adult Swiss Population

et al. 2022

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BackgroundAccurately assessing dietary intake is crucial for understanding how diet affects a person’s health. In large cohorts, paper-based dietary assessment tools (DAT) such as food recalls or food frequency questionnaires have emerged as valid tools with a low burden for participants.ObjectiveTo validate a visually aided DAT for use in studies with Swiss adults against the gold standard of a weighed 7-day food record (7 d-FR).DesignFifty-one adults (n = 24 women, n = 27 males) participated in the study and were recruited within two age groups (20–40 and 50–70 y). Each participant filled out the visually aided DAT, then the 7 d-FR. The DAT was compared to the 7 d-FR for total energy intake, macronutrients, sugar, water, and portions of fruits and vegetables. Pearson correlation and Bland–Altman analyses were used for statistical analyses.ResultsTotal correlations ranged from 0.288 (sugar, p < 0.05) to 0.729 (water, p < 0.01). The older age group showed higher correlations for total energy intake, protein, fats, carbohydrates, and sugar, but not for water (p < 0.05). Correlations were moderate at r > 0.5, whereas only water and protein reached those values in the young group. Both groups overestimated total calories in kcal (+14.0%), grams of protein (+ 44.6%), fats (+36.3%), and portions of fruits and vegetables (+16.0%) but strongly underestimated sugar intake (−50.9%).ConclusionThis DAT showed that all macronutrients and total energy intake were estimated more accurately by the older age group and therefore might be adequate to capture dietary habits in older Swiss adults.

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“…обнаружено, что минимальная физическая активность и максимальная масса тела была характерна для зимнего периода [53], в другом исследовании было выявлено усиление физической активности в летний период [54]. Кроме того, в различные сезоны изменяется и Seasonal Cardiovascular Mortality Сезонная сердечно-сосудистая смертность структура питания [53,55,56]: в исследовании M. Stelmach-Mardas обнаружено, что в период с зимы до весны увеличивается потребление яиц, алкогольных напитков, овощей, а фруктов -уменьшается. В промежуток времени с лета до осени отмечаются противоположные тенденции [57].…”

Section: основные факторы которые влияют на сезонные колебания сердеunclassified

Basic Aspects of Seasonal Cardiovascular Mortality

Andreeva,

Gorbunov

2021

Racionalʹnaâ farmakoterapiâ v kardiologii

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The review demonstrates the main aspects of seasonal cardiovascular mortality. Climatic factors, including seasonal weather changes, have a significant impact on the biosphere. People are also characterized by the seasonal dynamics of the activity of many organs and systems, biochemical parameters, and mortality. Cardiovascular mortality is also characterized by seasonal fluctuations: in winter it is maximum, in summer it is minimal. The same patterns are characteristic of mortality from cardiovascular diseases (myocardial infarction, stroke, cardiac arrhythmias, etc.). The article presents the basic patterns of seasonal cardiovascular mortality in various climatic zones, the cardiovascular mortality of countries located in the equatorial and subequatorial climatic region. In addition, the mortality displacement phenomenon, the paradox of winter mortality. The main trends in changes in cardiovascular mortality over a long period of time are demonstrated. The paper discusses some of the mechanisms that underlie the dynamics of cardiovascular mortality during the year: seasonal fluctuations in the level of vitamin D, lipids in the blood plasma, changes in hemodynamic parameters, the effects of microbial and viral infections in the cold season, etc. In addition, data on seasonal the dynamics of risk factors for cardiovascular diseases is considered: an increase in body weight, a physical activity decrease, a change in the nutrition structure in the winter, the seasonal dynamics of depression, anxiety, hostility, the relationship of seasonal cardiovascular mortality with socio-economic, demographic and other factors. In conclusion, the main ways of development and prevention of seasonal CV cardiovascular mortality M, taking into account modern technologies at the international level, for state health departments, for specific patients, are demonstrated.

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Seasonality of nutrient intake – An analysis including over 44,000 participants in 4 countries

Cited by 5 publications

References 25 publications

Prevalence and profile of “seasonal frequent flyers” with chronic heart disease: Analysis of 1598 patients and 4588 patient-years follow-up

Prevalence and profile of “seasonal frequent flyers” with chronic heart disease: Analysis of 1598 patients and 4588 patient-years follow-up

Validation of a Visually Aided Dietary Assessment Tool to Estimate Dietary Intake in an Adult Swiss Population

Basic Aspects of Seasonal Cardiovascular Mortality

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