Population-based nutrition study on an urban population with type 2 diabetes mellitus

Кунцевич, А. К.; Мустафина, С. В.; Malyutina, Sofia; Веревкин, Е. Г.; Rymar, O. D.

doi:10.14341/dm7174

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…Èñõîäÿ èç ýòîãî, áûëà ïðåäëîaeåíà çäîðîâàÿ äèåòà äëÿ aeèòåëåé Ñåâåðíîé Åâðîïû, êîòîðàÿ áûëà çíà÷èìî ñâÿçàíà ñ óëó÷øåíèåì ÊÔ (îáñëåäîâàíî 2 223 aeèòåëÿ Øâåöèè â âîçðàñòå ñòàðøå 60 ëåò) [28]. Ðàíåå áûëî ïîêàçàíî, ÷òî ôàêòè÷åñêîå ïèòàíèå íàñåëåíèÿ ã. Íîâîñèáèðñêà (45-69 ëåò) íå ÿâëÿåòñÿ ñáàëàíñèðîâàííûì, îòìå÷àåòñÿ íåäî-ñòàòî÷íûé óðîâåíü ïîòðåáëåíèÿ ôðóêòîâ è îâîùåé [29]. Ñëåäóåò îòìåòèòü, ÷òî â íàøåé ðàáîòå âûñîêèé óðîâåíü ôðóêòîâ è îâîùåé â ïèòàíèè áûë çíà÷èìî ñâÿçàí ñ áîëåå âûñîêèìè îöåíêàìè ÊÔ, à óðîâåíü ïîòðåáëåíèÿ ôðóêòîâ è îâîùåé ó îáîèõ ïîëîâ â ìàêñèìàëüíûõ êâàðòèëÿõ (303 ã/äåíü è 382,6 ã/äåíü ñîîòâåòñòâåííî) âïîëíå ñîîòâåòñòâóåò Ðåêîìåíäàöèÿì ïî íîðìàì ïîòðåáëåíèÿ ïèùåâûõ ïðîäóêòîâ Ìèíçäðàâà ÐÔ (https://www.gnicpm.ru/UserFiles/Normi_pitania_ Minzdrav_190816_%E2%84%96_614%20(1).pdf).…”

Section: заключениеunclassified

Relationship of actual nutrition with estimates of the cognitive function of the population of Novosibirsk

Кунцевич¹,

Шишкин²,

Веревкин³

et al. 2020

Bûll. sib. med.

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Objective. To study in cross-sectional research the association of actual nutrition with estimates of cognitive function (CF) in the population of men and women of middle and older age (45–69 years).Materials and methods. The study was conducted in the framework of the international project HAPIEE on a random subsample (2,159 men, 2,525 women) of residents of Novosibirsk. Evaluation of CF was carried out using standard methods (test for direct reproduction of 10 words, test for speech activity (associative thinking) and test for delayed reproduction). Nutrition data was obtained from population surveys in the HAPIEE project using a questionnaire to assess the frequency of food consumption. Statistical data processing was performed using the SPSS 13.0 application package. The GLM procedure was used, allowing to take into account the influence of related factors. Differences were considered statistically significant at p < 0.05.Results. The presence of a significant correlation between the actual nutrition with standardization by age, body mass index and level of education with CF estimates was found. It has been shown that higher consumption of fruits and vegetables was significantly associated with higher scores in both men and women. Women, unlike men, also showed significantly higher CF estimates for consumption of rice, meat products and dairy products. In addition, there was a negative association of CF with the consumption of a number of products. Men showed a significant decrease in the estimates of CF with the consumption of sugar and fats; in women, in the consumption of white bread, sugar and fat.Conclusion: the results of our study showed the presence of a significant association of CF estimates with the level of consumption of a number of products, both positive and negative, in middle-aged and older people. These data may be useful in the development of nutritional recommendations for the prevention of violations of CF.

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Section: заключениеunclassified

Relationship of actual nutrition with estimates of the cognitive function of the population of Novosibirsk

Кунцевич¹,

Шишкин²,

Веревкин³

et al. 2020

Bûll. sib. med.

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“…It's no secret that overweight, obesity, arterial hypertension, diseases of the endocrine system, iron deficiency anemia and the conditions that develop as a result of it, oncological diseases are increasing day by day among the population of our country [1], [2], [3], [4]. Today, among the population of our country, the incidence of diabetes mellitus type II from diseases of the endocrine system is increasing sharply, not only among those with overweight and obesity, but also among other communities [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Hygienic Analysis Of Morbidity Indicators Of Patients: On The Example Of The Endocrine System

Nizom,

Ikhtiyor,

Khosiyat

et al. 2023

ijmst

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In this article, the quantitative and qualitative indicators of the hygienic analysis of protein, fat, oil, carbohydrates, vitamins and minerals in the daily diet of patients with endocrine system diseases in the Bukhara region of our country, the role of protein, fat, oil, carbohydrates, vitamins and minerals in the diet and its importance in disease prevention is assessed and practical recommendations are given to prevent unhealthy nutrition and hypodynamia during the development of the disease.

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“…The risk factors of T2DM are well established and include abdominal obesity (waist circumference (WC) ≥94 cm in males and ≥ 80 cm in females), a family history of DM, age >45 years old, hypertension and major cardiovascular diseases (CVDs), gestational diabetes, the use of drugs that contribute to hyperglycaemia, and weight gain. Early identification of T2DM risk factors and their clusters with the aim of modification can help to prevent T2DM [ 6 , 7 ]. At present, preventive strategies rely on the identification of risk factors and their combinations and subsequent lifestyle intervention.…”

Section: Introductionmentioning

confidence: 99%

The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project

Мустафина

Rymar

Щербакова

et al. 2021

JPM

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The aim of this study is to investigate the 14-year risk of type 2 diabetes mellitus (T2DM) and develop a risk score for T2DM in the Siberian cohort. A random population sample (males/females, 45–69 years old) was examined at baseline in 2003–2005 (Health, Alcohol, and Psychosocial Factors in Eastern Europe (HAPIEE) project, n = 9360, Novosibirsk) and re-examined in 2006–2008 and 2015–2017. After excluding those with baseline T2DM, the final analysis included 7739 participants. The risk of incident T2DM during a 14-year follow-up was analysed using Cox regression. In age-adjusted models, male and female hazard ratios (HR) of incident T2DM were 5.02 (95% CI 3.62; 6.96) and 5.13 (95% CI 3.56; 7.37) for BMI ≥ 25 kg/m2; 4.38 (3.37; 5.69) and 4.70 (0.27; 6.75) for abdominal obesity (AO); 3.31 (2.65; 4.14) and 3.61 (3.06; 4.27) for fasting hyperglycaemia (FHG); 2.34 (1.58; 3.49) and 3.27 (2.50; 4.26) for high triglyceride (TG); 2.25 (1.74; 2.91) and 2.82 (2.27; 3.49) for hypertension (HT); and 1.57 (1.14; 2.16) and 1.69 (1.38; 2.07) for family history of diabetes mellitus (DM). In addition, secondary education, low physical activity (PA), and history of cardiovascular disease (CVD) were also significantly associated with T2DM in females. A simple T2DM risk calculator was generated based on non-laboratory parameters. A scale with the best quality included waist circumference >95 cm, HT history, and family history of T2DM (area under the curve (AUC) = 0.71). The proposed 10-year risk score of T2DM represents a simple, non-invasive, and reliable tool for identifying individuals at a high risk of future T2DM.

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Population-based nutrition study on an urban population with type 2 diabetes mellitus

Cited by 8 publications

References 15 publications

Relationship of actual nutrition with estimates of the cognitive function of the population of Novosibirsk

Relationship of actual nutrition with estimates of the cognitive function of the population of Novosibirsk

Hygienic Analysis Of Morbidity Indicators Of Patients: On The Example Of The Endocrine System

The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project

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