Diet and Dyslipidemias in a Lithuanian Rural Population Aged 25-64: the CINDI Survey

Petkevičienė, Janina; Klumbienė, Jūratė; Ramažauskienė, Vitalija; Kriaučionienė, Vilma; Šakytė, Edita; Grabauskas, Vilius Jonas

doi:10.3390/medicina48040030

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…22 Particularly high-fat intake was also reported in a rural Lithuanian sample in the CINDI survey. 23 This suggests that in the Polish sample, and probably in the other two Eastern European cohorts as well, the average intake of fats and other nutrients may have been higher if the HAPIEE cohorts had included rural participants. Individuals in non-manual occupations tend to have a better-quality diet than manual workers, 24 indicating that participants of the Whitehall II cohort probably have healthier dietary patterns than the general UK population.…”

Section: Discussionmentioning

confidence: 95%

Comparison of food and nutrient intakes between cohorts of the HAPIEE and Whitehall II studies

Stefler

Pająk

Malyutina

et al. 2015

Eur J Public Health

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Background: Differences in dietary habits have been suggested as an important reason for the large health gap between Eastern and Western European populations. Few studies have compared individual-level nutritional data directly between the two regions. This study addresses this hypothesis by comparing food, drink and nutrient intakes in four large population samples. Methods: Czech, Polish and Russian participants of the Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) study, and British participants in the Whitehall II study, altogether 29 972 individuals aged 45–73 years, were surveyed in 2002–2005. Dietary data were collected by customised food frequency questionnaires. Reported food, drink and nutrient intake data were harmonised and compared between cohorts using multivariable adjusted quantile regression models. Results: Median fruit and vegetable intakes were lower in the pooled Eastern European sample, but not in all country cohorts, compared with British subjects. Median daily consumption of fruits were 275, 213, 130 and 256 g in the Czech, Polish, Russian and Whitehall II cohort, respectively. The respective median daily intakes of vegetables were 185, 197, 292 and 246 g. Median intakes of animal fat foods and saturated fat, total fat and cholesterol nutrients were significantly higher in the Czech, Polish and Russian cohorts compared with the British; for example, median daily intakes of saturated fatty acids were 31.3, 32.5, 29.2 and 25.4 g, respectively. Conclusion: Our findings suggest that there are important differences in dietary habits between and within Eastern and Western European populations which may have contributed to the health gap between the two regions.

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Section: Discussionmentioning

confidence: 95%

Comparison of food and nutrient intakes between cohorts of the HAPIEE and Whitehall II studies

Stefler

Pająk

Malyutina

et al. 2015

Eur J Public Health

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show abstract

“…Dietary patterns characterized by a frequent intake of refined cereals, red meat, and processed foods, usually called as "Western" diet, were associated with higher prevalence and incidence of overweight and obesity, cardiovascular diseases, type 2 diabetes, and cancer (4)(5)(6)(7)(8)(9). Scarce data on dietary habits in Eastern European countries is available and reports investigated individual food items and their relationship with chronic diseases and not dietary patterns in these populations (10)(11)(12)(13). For Romania, information on dietary habits is available only until 2011, and is limited to empirical findings or results of consultation with focus groups and provides information on daily consumption of certain individual food items or food groups (14)(15)(16).…”

Section: Introductionmentioning

confidence: 99%

Dietary Patterns and their Association with Obesity: a Cross-Sectional Study

et al. 2019

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Context. Scarce data on dietary habits in Eastern European countries is available and reports investigated individual food items and not dietary patterns in these populations Objective. To identify dietary patterns and to explore their association with obesity in a sample from Romanian population. Design. Cross-sectional. Subjects and Methods. This was an analysis of data collected from 1398 adult participants in ORO study. Data on lifestyle, eating habits and food frequency consumption were collected. Results. By principal component analysis we identified 3 dietary patterns explaining 31.4% of the diet variation: High meat/High fat pattern, Western pattern and Prudent pattern. High meat/High fat pattern was associated with male gender, lower educational level, living in a rural, smoking and a higher probability for the presence of obesity (OR 1.2 [95%CI: 1.1-1.4]). Western pattern was associated with younger age, a higher level of physical activity and smoking. Prudent pattern was associated with older age, female gender, a higher level of physical activity, not smoking status and a lower probability for the presence of obesity (OR 0.8 [95%CI: 0.7-0.9]). Conclusions. This study provides for the first-time information on the association between dietary patterns in adults from an Eastern European country and the presence of obesity.

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Retrospective analysis of age-adjusted body mass index among pre-pregnant women in the Lithuanian urban area during three decades

et al. 2016

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BackgroundThe prevalence of maternal obesity at the beginning of pregnancy is increasing. However, there are some studies reporting the stabilisation of obesity epidemic or even the downward trend in the general population.ObjectiveTo determine the prevalence of overweight and obesity in Lithuanian pre-pregnant women during 3 decades.MethodsThis observational retrospective study included a sample of 2827, women aged 18–44 years who gave birth in 1987–1989, 1996–1997 and 2007–2010: 861 (30.5%), 995 (35.2%) and 971 (34.3%), respectively. All women were divided into groups by body mass index (BMI) calculated from self-reported weight and height, and age reported during the first antenatal visit. Quantitative parametric variables were expressed as mean and SD; qualitative variables, as absolute numbers (n) and percentage (%). For parametric data, analysis of variance (ANOVA) was used. Differences were considered statistically significant at p<0.05.ResultsThe prevalence of overweight and obesity among women aged 18–24 years decreased from 20.9% in 1987–1989 to 9.5% in 1996–1997 but increased to 15.7% in 2007–2010; among women aged 25–34 years, decreased from 35.5% in 1987–1989 to 23% in 1996–1997 and to 22.4% in 2007–2010; and among women aged 35–44 years decreased from 64.9% in 1987–1989 to 34% in 1996–1997 but increased to 45.3% in 2007–2010. BMI increased with an increasing age (r=0.254, p<0.05). Analysis by separate periods (1987–1989, 1996–1997 and 2007–2010) revealed a positive correlation between BMI and age at the first antenatal visit in all periods (r=0.325, p<0.01; r=0.266, p<0.01; and r=0.210, p<0.01, respectively).ConclusionsThe prevalence of overweight and obesity among pre-pregnant women tended to decrease in the Lithuanian urban area during 3 decades. A slight increase in overweight and obesity documented in 2007–2010 compared with 1996–1997 most likely was caused by older maternal age.

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Diet and Dyslipidemias in a Lithuanian Rural Population Aged 25-64: the CINDI Survey

Cited by 3 publications

References 24 publications

Comparison of food and nutrient intakes between cohorts of the HAPIEE and Whitehall II studies

Comparison of food and nutrient intakes between cohorts of the HAPIEE and Whitehall II studies

Dietary Patterns and their Association with Obesity: a Cross-Sectional Study

Retrospective analysis of age-adjusted body mass index among pre-pregnant women in the Lithuanian urban area during three decades

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