Effect of seasonal changes on nutritional status and biochemical parameters in Turkish older adults

Ersoy, Nesli; Taşçı, İlker; Özgürtaş, Taner; Salih, Bekir; Doruk, Hüseyin; Rakıcıoğlu, Neslişah

doi:10.4162/nrp.2018.12.4.315

Cited by 12 publications

(8 citation statements)

References 22 publications

(26 reference statements)

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“…Considering entire populations, in climatic zones characterized by evident seasonality, dietary habits associated with a given season of the year are related to a higher supply of calories in winter and a higher intake of fats, which may result in increases of LP levels [10,11]. For instance, Ersoy et al [12] reported an increase in the consumption of high-energy food in winter months by 557 kcal daily in males and by 330 kcal in females (Turkey).…”

Section: Introductionmentioning

confidence: 99%

Are the Levels of Lipid Parameters Associated with Biometeorological Conditions?

Skutecki

Cymes

Dragańska

et al. 2019

IJERPH

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Lipid disorders, especially hypercholesterolemia, are one of the most thoroughly investigated cardiovascular risk factors. Their correlation with biometeorological conditions has been reported, with authors stressing seasonal increases of total cholesterol (TC) levels, mostly occurring in winter. This study aims at determining the correlation between the level of lipid parameters (LP) and meteorological conditions, analyzing seasonal variations in LP levels, and attempting to answer the following questions: do changes in LP levels result from the organism’s response to cold or heat stress, or are they secondary to seasonal dietary variations? An observational study comprised ambulatory patients from the city of Olsztyn (Poland), for whom laboratory test were performed in 2016–2018, with 106,325 records of TC, high-density lipoprotein (HDL), and triglycerides (TG). LP levels were matched with atmospheric conditions on the day when the test was conducted and expressed by the universal thermal climate index (UTCI). We demonstrated seasonal increases of TC in cold stress (in wintertime) and of TG in heat stress (summer). The analysis of LP levels in specific periods revealed the increase of TC levels after holidays (i.e., Christmas and Easter) in men by 4.56%, and the increase of TG levels in women by 13.46% in the same period. Our results suggest the secondary, diet-dependent underlying cause of the observed changes. This work contributes to the discussion concerning the impact of biometeorological factors on LP levels and may be of significance when planning population-dedicated preventive activities.

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Section: Introductionmentioning

confidence: 99%

Are the Levels of Lipid Parameters Associated with Biometeorological Conditions?

Skutecki

Cymes

Dragańska

et al. 2019

IJERPH

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“…In any case, few studies have investigated the causes of high WC, TG, and FPG in August, so further research is needed. Furthermore, previous studies have shown that there are seasonal variations in intakes of energy, vegetable and fruit intake, and vitamin C contained in fruits and vegetables [40][41][42]. Also, because the difference between body and air temperature is slight in summer, the metabolic rate may be lower in summer than in winter.…”

Section: Discussionmentioning

confidence: 99%

Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

Seto,

Toki,

Kitora

et al. 2024

Environ. Health Prev. Med.

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Background It is crucial to understand the seasonal variation of Metabolic Syndrome (MetS) for the detection and management of MetS. Previous studies have demonstrated the seasonal variations in MetS prevalence and its markers, but their methods are not robust. To clarify the concrete seasonal variations in the MetS prevalence and its markers, we utilized a powerful method called Seasonal Trend Decomposition Procedure based on LOESS (STL) and a big dataset of health checkups. Methods A total of 1,819,214 records of health checkups (759,839 records for men and 1,059,375 records for women) between April 2012 and December 2017 were included in this study. We examined the seasonal variations in the MetS prevalence and its markers using 5 years and 9 months health checkup data and STL analysis. MetS markers consisted of waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG). Results We found that the MetS prevalence was high in winter and somewhat high in August. Among men, MetS prevalence was 2.64 ± 0.42 (mean ± SD) % higher in the highest month (January) than in the lowest month (June). Among women, MetS prevalence was 0.53 ± 0.24% higher in the highest month (January) than in the lowest month (June). Additionally, SBP, DBP, and HDL-C exhibited simple variations, being higher in winter and lower in summer, while WC, TG, and FPG displayed more complex variations. Conclusions This finding, complex seasonal variations of MetS prevalence, WC, TG, and FPG, could not be derived from previous studies using just the mean values in spring, summer, autumn and winter or the cosinor analysis. More attention should be paid to factors affecting seasonal variations of central obesity, dyslipidemia and insulin resistance. Supplementary information The online version contains supplementary material available at https://doi.org/10.1265/ehpm.23-00216 .

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“…For example, research in Israel found that workers generally gained bodyweight and consumed over 40% more sodium chloride in the winter compared with summer [ 198 ]. Sodium intake also increased in winter in older adults in Turkey [ 199 ], in adults in Southern Brazil [ 200 ], and in a middle-aged and elderly Dutch cohort [ 201 ]. In Japanese hypertensive outpatients, 24-h urinary sodium chloride excretion, a reliable biomarker of sodium intake, generally decreased in the summer [ 202 ].…”

Section: Determinants Of Sodium Toxicitymentioning

confidence: 99%

Sodium Toxicity in the Nutritional Epidemiology and Nutritional Immunology of COVID-19

Brown

2021

Medicina

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Dietary factors in the etiology of COVID-19 are understudied. High dietary sodium intake leading to sodium toxicity is associated with comorbid conditions of COVID-19 such as hypertension, kidney disease, stroke, pneumonia, obesity, diabetes, hepatic disease, cardiac arrhythmias, thrombosis, migraine, tinnitus, Bell’s palsy, multiple sclerosis, systemic sclerosis, and polycystic ovary syndrome. This article synthesizes evidence from epidemiology, pathophysiology, immunology, and virology literature linking sodium toxicological mechanisms to COVID-19 and SARS-CoV-2 infection. Sodium toxicity is a modifiable disease determinant that impairs the mucociliary clearance of virion aggregates in nasal sinuses of the mucosal immune system, which may lead to SARS-CoV-2 infection and viral sepsis. In addition, sodium toxicity causes pulmonary edema associated with severe acute respiratory syndrome, as well as inflammatory immune responses and other symptoms of COVID-19 such as fever and nasal sinus congestion. Consequently, sodium toxicity potentially mediates the association of COVID-19 pathophysiology with SARS-CoV-2 infection. Sodium dietary intake also increases in the winter, when sodium losses through sweating are reduced, correlating with influenza-like illness outbreaks. Increased SARS-CoV-2 infections in lower socioeconomic classes and among people in government institutions are linked to the consumption of foods highly processed with sodium. Interventions to reduce COVID-19 morbidity and mortality through reduced-sodium diets should be explored further.

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Effect of seasonal changes on nutritional status and biochemical parameters in Turkish older adults

Cited by 12 publications

References 22 publications

Are the Levels of Lipid Parameters Associated with Biometeorological Conditions?

Are the Levels of Lipid Parameters Associated with Biometeorological Conditions?

Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

Sodium Toxicity in the Nutritional Epidemiology and Nutritional Immunology of COVID-19

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