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Population-based study in Lithuania: lifestyle factors and risk of metabolic syndrome

100%
Luksiene D., Baceviciene M., Tamosiunas A.
Open Medicine
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2010
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vol. 5
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issue 3
387-398
EN
The aim of this study was to assess the relationship between lifestyle characteristics and the probability of metabolic syndrome in the Lithuanian middle-aged population of Kaunas city. Study sample was comprised of 1403 individuals aged 35–64 years. Metabolic syndrome was defined by International Diabetes Federation definition. Lifestyle habits were evaluated using frequency questionnaires. The prevalence of metabolic syndrome was identified in 29.7% of men and 35.1% of women. In men only alcohol intake increased the risk of metabolic syndrome: wine intake daily or several times a week increased the risk of metabolic syndrome in men aged 35–49 years by 3.8-fold whereas intake of spirits once a week or more often increased the risk of metabolic syndrome in men aged 50–64 years by 2.8-fold. In women aged 50–64 years beer intake daily or several times a week (OR=11.9; p=0.015) and some unhealthy nutrition habits - intake of cakes 4 times a week or more often (OR=5.49; p=0.005) and slather spread butter on bread (OR=2.09; p=0.028) increased the odds of metabolic syndrome. Our findings indicated that frequent intake of wine and spirits increased the risk of metabolic syndrome in men; frequent intake of beer, cakes, slather spread butter on bread and low education level increased the risk of metabolic syndrome in women.
2
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Computer use and musculoskeletal complaints in the Lithuanian adolescent population

88%
Skemiene L., Ustinaviciene R., Luksiene D., Radisauskas R., Kaliniene G.
Open Medicine
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2012
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vol. 7
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issue 2
203-208
EN
The purpose of this study was to evaluate self-rated musculoskeletal complaints and their association with computer use time in the adolescent population in Lithuania. The cross-sectional study done in 2008–2009 in Lithuania. 1806 students aged 13–18 years from randomly selected schools were questioned (response rate 95.8%). Logistic regression analysis results show that musculoskeletal complaints in adolescence are associated with duration of computer use as related to age and gender. Compared with adolescents using computer <2 hours daily, a statistically significant probability of experiencing back pain was determined for younger boys and girls groups (13–15 years) who reported working on a computer >4 hours (OR=2.36 and OR=2.50, respectively) in older age groups (16–18 years); in girls only the ORs of back pain significantly increased with increased time of computer use. the probability of experiencing the neck-shoulder pain was determined only in girls aged 16–18 years who reported working on a computer 2–4 hours (OR=1.62, p=0.020). Musculoskeletal complaints in adolescence are related to duration of computer use. Increasing the time spent at the computer increased complaints of musculoskeletal pain among Lithuanian adolescents. The main guidelines for prevention point to restriction of time of computer use.
3
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Association between anthropometric indexes and cardiovascular risk factors

76%
Luksiene D., Petkeviciene J., Jureniene K., Klumbiene J., Smalinskiene A., Tamosiunas A.
Open Medicine
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2011
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vol. 6
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issue 4
411-417
EN
The aim of this study was to assess the associations of the body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with ischemic heart disease (IHD) and risk factors of IHD in the Lithuanian population aged 25 to 70 years. The cross-sectional health survey was carried out in Kaunas, which is the second largest city in Lithuania, and in five regions randomly selected from the northern, southern, eastern, western and central parts of Lithuania. Data from 2048 subjects (936 men and 1112 women) were analyzed. In both sexes, the odds ratios for reduced high density lipoprotein cholesterol, elevated triglycerides, high fasting blood glucose, and hypertension rose with an increasing quartile of BMI, WC, and WHtR. The likelihood of having IHD was statistically significantly higher in the fourth quartile of these anthropometric measures when compared to the first one. Comparison of the logistic regression models revealed that the models with WHtR best fit the prediction of IHD risk. Compared with BMI and WC, WHtR showed a stronger association with IHD and its risk factors in the Lithuanian adult population.
4
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Dose-response association between physical activity and metabolic syndrome

76%
Baceviciene M., Luksiene D., Cesnaitiene V., Raubaite S., Peasey A., Tamosiunas A.
Open Medicine
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2013
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vol. 8
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issue 2
273-282
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