| Literature DB >> 26322082 |
Maria Dorobantu1, Oana-Florentina Tautu1, Roxana Darabont2, Silviu Ghiorghe3, Elisabeta Badila3, Minca Dana4, Minodora Dobreanu5, Ilarie Baila6, Marcin Rutkowski7, Tomasz Zdrojewski7.
Abstract
INTRODUCTION: Comparing results of representative surveys conducted in different East-European countries could contribute to a better understanding and management of cardiovascular risk factors, offering grounds for the development of health policies addressing the special needs of this high cardiovascular risk region of Europe. The aim of this paper was to describe the methodology on which the comparison between the Romanian survey SEPHAR II and the Polish survey NATPOL 2011 results is based.Entities:
Keywords: cardiovascular disease; cross-sectional study; epidemiology; hypertension; metabolic disorders
Year: 2015 PMID: 26322082 PMCID: PMC4548029 DOI: 10.5114/aoms.2015.53290
Source DB: PubMed Journal: Arch Med Sci ISSN: 1734-1922 Impact factor: 3.318
Figure 1Distribution of SEPHAR II study sites
Minimum required sample size and number of selected interview addresses
| Region | Minimum required sample | Number of selected addresses | Number of visited addresses |
|---|---|---|---|
| North-East | 317 | 634 | 461 |
| South-East | 255 | 510 | 270 |
| South | 304 | 608 | 457 |
| South-West | 209 | 418 | 390 |
| West | 177 | 354 | 265 |
| North-West | 244 | 488 | 397 |
| Center | 226 | 452 | 330 |
| Bucharest | 210 | 630 | 290 |
| Total | 1942 | 4094 | 2860 |
Figure 2Structure of SEPHAR II survey's organizational stages
Laboratory work-up in SEPHAR II
| Test | Methodology/reagents/manufacturer | Analyzer | Analytical characteristics of the method applied | |||||
|---|---|---|---|---|---|---|---|---|
| Bias | Within-run imprecision | Between-run imprecision | ||||||
| Serum creatinine | Jaffe method/picric acid in alkaline milieu/Roche | Cobas 6000 | –1.82 | –6.09 | 1.08 | 1.49 | 2.3 | 1.61 |
| eGFR | Calculated using the simplified MDRD equation: eGFR = 175 × [( | |||||||
| Serum uric acid | Enzymatic/uricase, peroxidase/Roche | Cobas 6000 | 0 | –2 | 0.9 | 0.7 | 2.2 | 2.2 |
| Serum potassium | ISE/indirect ion-selective electrode/Roche | Cobas 6000 | 0.7 | 0.7 | 0.5 | 0.5 | 0.75 | 0.92 |
| Serum triglycerides | Enzymatic/glycerol kinase and glycerol phosphatase/Roche | Cobas 6000 | –4.17 | –3.81 | 1.12 | 0.69 | 2.1 | 2.3 |
| Serum total cholesterol | Enzymatic/cholesterol esterase and cholesterol oxidase/Roche | Cobas 6000 | –0.36 | 0.36 | 0.65 | 1.18 | 1.79 | 1.84 |
| Serum HDL-cholesterol | Enzymatic/peg-cholesterol oxidase/Roche | Cobas 6000 | –3.11 | –4.14 | 1.23 | 0.9 | 2.05 | 3.16 |
| Serum LDL-cholesterol | Using Friedewald formula: LDL-C [mg/dl] = total cholesterol [mg/dl] – HDL-C [mg/dl] – triglycerides [mg/dl]/5. If triglyceride concentration > 350 mg/dl, Friedewald formula cannot be used | |||||||
| Plasma glucose | Enzymatica/hexokinase and glucose-6-phosphate dehydrogenase/Roche | Cobas 6000 | –0.68 | –2.89 | 1.16 | 0.99 | 1.68 | 1.5 |
| Glycated hemoglobin (HbA1c) | Tinia, IFCC standardised and DCC/NGSP traceable/Roche | Cobas 6000 | –3.74 | –8.14 | 1.5 | 1.1 | 1.34 | 2.06 |
| Albuminuria | Immunoturbidimetry/Roche | Cobas 6000 | 0.93 | –2.3 | 2.5 | 2.19 | 2.5 | 1.1 |
Structure of examined sample compared to structure of adult Romanian population according to last population census (LPC) available in 2011
| Age range [years] | Females (%) | Males (%) | Total (%) | |||
|---|---|---|---|---|---|---|
| SEPHAR II | LPC | SEPHAR II | LPC | SEPHAR II | LPC | |
| 18–39 | 35.1 | 41.6 | 38.6 | 45.5 | 36.8 | 43.6 |
| 40–59 | 38.5 | 33.3 | 46.2 | 33.7 | 42.2 | 33.5 |
| 60–79 | 26.4 | 25.1 | 15.2 | 20.6 | 21.1 | 22.9 |
Socio-demographic characteristics of study group
| Characteristics | Females | Males | Total | ||||
|---|---|---|---|---|---|---|---|
| Education: | |||||||
| Primary or uncompleted primary | 236 | 22.9 | 121 | 13 | 357 | 18.2 | |
| Uncompleted secondary | 94 | 9.1 | 58 | 6.2 | 152 | 7.7 | |
| Secondary or uncompleted higher | 486 | 47.1 | 502 | 53.8 | 988 | 50.3 | |
| Higher | 212 | 99.7 | 251 | 26.9 | 463 | 23.6 | |
| Missing data | 3 | 0.3 | 1 | 0.1 | 4 | 0.2 | |
| Place of residence: | |||||||
| City > 200,000 residents | 261 | 25.3 | 217 | 23.3 | 478 | 24.3 | |
| Town 50,000–200,000 residents | 232 | 22.5 | 206 | 22.1 | 438 | 22.3 | |
| Town < 50,000 residents | 155 | 15 | 135 | 14.5 | 290 | 14.8 | |
| Rural areas | 383 | 37.1 | 375 | 40.2 | 758 | 38.6 | |
| Professional status: | |||||||
| Employed/economic activity | 474 | 46 | 545 | 58.4 | 1019 | 51.9 | |
| Farmer | 54 | 5.2 | 44 | 4.7 | 98 | 5 | |
| Retired | 338 | 32.8 | 203 | 21.8 | 541 | 27.5 | |
| Unemployed with social support | 19 | 1.8 | 22 | 2.4 | 41 | 2.1 | |
| Unemployed without social support | 94 | 9.1 | 94 | 10.1 | 188 | 9.6 | |
| Not working/student | 16 | 1.6 | 16 | 1.7 | 32 | 1.6 | |
| Missing data | 36 | 3.5 | 9 | 1 | 45 | 2.3 | |