OLEJNÍČKOVÁ, Jana, Martin FOREJT, Erika ČERMÁKOVÁ and Lucie HUDCOVÁ. FACTORS INFLUENCING BASAL METABOLISM OF CZECHS OF WORKING AGE FROM SOUTH MORAVIA. Central European journal of public health. Praha: Česká lékařská společnost J.E. Purkyně, 2019, vol. 27, No 2, p. 135-140. ISSN 1210-7778. Available from: https://dx.doi.org/10.21101/cejph.a5103.
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Basic information
Original name FACTORS INFLUENCING BASAL METABOLISM OF CZECHS OF WORKING AGE FROM SOUTH MORAVIA
Authors OLEJNÍČKOVÁ, Jana (203 Czech Republic, guarantor, belonging to the institution), Martin FOREJT (203 Czech Republic, belonging to the institution), Erika ČERMÁKOVÁ (203 Czech Republic, belonging to the institution) and Lucie HUDCOVÁ (203 Czech Republic).
Edition Central European journal of public health, Praha, Česká lékařská společnost J.E. Purkyně, 2019, 1210-7778.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30304 Public and environmental health
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 0.653
RIV identification code RIV/00216224:14110/19:00110865
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.21101/cejph.a5103
UT WoS 000472898100009
Keywords in English basal metabolic rate; indirect calorimetry; bioelectrical impedance; BMI; anthropometry; total body water; percent of body fat
Tags 14110525, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 11/5/2020 13:09.
Abstract
Objective: Basal metabolic rate (BMR) is the main part of the total body energy expenditure. The value of BMR is individual and depends on a lot of factors. The goal of the research was to discover the influence of anthropometric parameters, age and gender, on changes of the BMR values. Methods: A total of 177 individuals of Czech Caucasian origin from South Moravia (BMI 27.3 +/- 7.88 kg/m(2)) aged 18-55 (117 women, 60 men) were included in the study. Selected anthropometric characteristics were measured using a stadiometer (SECA 213) and bioelectrical impedance analysis (Inbody 230). BMR was measured by indirect calorimetry (Cortex Metalyzer 3B). The measured values were statistically evaluated by the regression analysis and least square method (LSM). Results: From the following results that the factors that influence the BMR value statistically significantly (p <0.05) are: age, gender, body mass index, total body water, and percent of body fat. Conclusion: Body fat and age have both an indirect impact on the basal metabolic rate of the Czech population in working age. However, BMI and the total body water were discovered to have a direct influence on the BMR.
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