Darbo tikslas – įvertinti antropometrinių indeksų ir lėtinių ligų rizikos veiksnių ryšius. Uždaviniai: Įvertinti tiriamųjų antropometrinius indeksus ir jų tarpusavio sąsajas; nustatyti lėtinių ligų rizikos veiksnių paplitimą tiriamojoje populiacijoje; palyginti skirtingų antropometrinių indeksų ryšį su lėtinių ligų rizikos veiksniais. Tyrimo metodika: Tiriamieji – atsitiktinai atrinkti Kauno miesto gyventojai, gimę 1964 metais, pirmą kartą ištirti 1977 metais pagal Juvenilinės hipertenzijos programą (n=1082). 2012 metais sveikatos patikrinime dalyvavo 511 asmenų (64,4 proc. galėjusių atvykti). Tiriamiesiems buvo atlikti antropometriniai matavimai, matuotas arterinis kraujospūdis ir atlikti biocheminiai kraujo tyrimai. Skaičiuotas kūno masės indeksas – KMI=svoris (kg)/ūgis2(m2). Antsvoris nustatytas, kai KMI buvo 25-29,9 kg/m2, nutukimas – kai KMI >30 kg/m2. Vyrų liemens apimtis >94 cm, o moterų – >80 cm laikyta padidėjusia. Padidėjęs liemens ir klubų santykis vyrams buvo >1, moterims – >0,85. Padidėjęs liemens ir ūgio santykis buvo >0,51. Statistinė duomenų analizė atlikta naudojant SPSS 16.0 for Windows programą. Rezultatai: Net 69,1 proc. vyrų ir 56,1 proc. moterų turėjo per didelį KMI, 57,0 proc. tirtųjų – per didelę liemens apimtį, 23,2 proc. vyrų ir 13,0 proc. moterų – padidėjusį liemens ir klubų santykį, 63,5 proc. vyrų ir 41,1 proc. moterų – padidėjusį liemens ir ūgio santykį. Visi antropometriniai indeksai buvo tarpusavyje susiję. Didėjant antropometrinių indeksų... [toliau žr. visą tekstą] / The aim of the study is to assess the associations between anthropometric indexes and risk factors of chronic diseases. Objectives: to evaluate anthropometric indexes and their interrelationship in Kaunas cohort; to determine prevalence of the risk factors of chronic diseases in the study population; to compare strength of associations between anthropometric indexes and risk factors of chronic diseases. Methods: In 1977, a random sample of Kaunas schoolchildren born in 1964 (n=1082) was examined in the first cross-sectional survey. In 2012, 511 subjects participated in 35-year follow-up survey (64.4% response rate). Health examination involved measurements of blood pressure, anthropometric and biochemical parameters. The body mass index was calculated - BMI=weight (kg)/ūgis2 (m2). Overweight was defined when BMI was 25 - 29.9 kg/m2 and obesity – when BMI >30 kg/m2. Waist circumference >94 cm for men and >80 cm for women was considered as increased. Waist-to-hip ratio > 1 for men and >0.85 for women was defined as increased. Waist-to-height ratio >0.51 was considered as increased. Statistical analyzes were performed using SPSS 16.0 for Windows program. Results: The study has revealed that even 69.1% of men and 56.1% of women were overweight or obese, 57.0% of participants had increased waist circumference, 23.2% of men and 13.0% of women - increased waist-to-hip ratio, 63.5% of men and 41.1% of women - increased waist-to-height ratio. All anthropometric indexes were... [to full text]

Material and methods Characteristics of study population The entire adult population (patients 16 years or older) of two PHC doctors practices in Kaunas were invited to participate in study. Approval from the Kaunas University of Medicine Ethics Committee was obtained and participants signed a written informed consent prior to examination. Patients from one practice were intervention community, patients from another practice - control community. In intervention community 1219 patients 16 years or older participated in first survey (506 men and 713 women, response rate 87.1%), in control community – 1068 patients (439 men and 629 women, response rate 87.1%). Intervention, oriented to improve control of risk factors of NCD, was integrated into the PHC team daily practice during one year in intervention community. Control community was receiving usual PHC. After one year (in 2000) all participants of first survey were invited to participate in second survey. Each survey followed the same methods. In intervention community 1069 patients (506 men and 713 women, response rate 87.7%) participated in second survey, in control community - 940 patients (439 men and 629 women, response rate 88.0%). There was no difference between communities concerning age and sex distribution of participants (table 2.1.1). Table 2.1.1 Distribution of respondents by age and sex in intervention and control communities Age,years Intervention community Control community Men women total men women... [to full text]