• Je něco špatně v tomto záznamu ?

Higher energy intake variability as predisposition to obesity: novel approach using interquartile range

M. Forejt, Z. D. Brázdová, J. Novák, F. Zlámal, M. Forbelská, P. Bienert, P. Mořkovská, M. Zavřelová, A. Pohořalá, M. Jurášková, N. Salah, J. Bienertová-Vašků

. 2017 ; 25 (4) : 321-325.

Jazyk angličtina Země Česko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc18016072

Digitální knihovna NLK
Zdroj

E-zdroje Online Plný text

NLK Free Medical Journals od 2004
ProQuest Central od 2009-03-01 do Před 6 měsíci
Medline Complete (EBSCOhost) od 2006-03-01 do Před 6 měsíci
Nursing & Allied Health Database (ProQuest) od 2009-03-01 do Před 6 měsíci
Health & Medicine (ProQuest) od 2009-03-01 do Před 6 měsíci
Public Health Database (ProQuest) od 2009-03-01 do Před 6 měsíci
ROAD: Directory of Open Access Scholarly Resources od 1993

Odkazy

PubMed 29346857
DOI 10.21101/cejph.a4451
Knihovny.cz E-zdroje

OBJECTIVE: It is known that total energy intake and its distribution during the day influences human anthropometric characteristics. However, possible association between variability in total energy intake and obesity has thus far remained unexamined. This study was designed to establish the influence of energy intake variability of each daily meal on the anthropometric characteristics of obesity. METHODS: A total of 521 individuals of Czech Caucasian origin aged 16–73 years (390 women and 131 men) were included in the study, 7-day food records were completed by all study subjects and selected anthropometric characteristics were measured. The interquartile range (IQR) of energy intake was assessed individually for each meal of the day (as a marker of energy intake variability) and subsequently correlated with body mass index (BMI), body fat percentage (%BF), waist-hip ratio (WHR), and waist circumference (cW). RESULTS: Four distinct models were created using multiple logistic regression analysis and backward stepwise logistic regression. The most precise results, based on the area under the curve (AUC), were observed in case of the %BF model (AUC=0.895) and cW model (AUC=0.839). According to the %BF model, age (p<0.001) and IQR-lunch (p<0.05) seem to play an important prediction role for obesity. Likewise, according to the cW model, age (p<0.001), IQR-breakfast (p<0.05) and IQR-dinner (p <0.05) predispose patients to the development of obesity. The results of our study show that higher variability in the energy intake of key daily meals may increase the likelihood of obesity development. CONCLUSIONS: Based on the obtained results, it is necessary to emphasize the regularity in meals intake for maintaining proper body composition.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc18016072
003      
CZ-PrNML
005      
20180524144306.0
007      
ta
008      
180514s2017 xr d f 000 0|eng||
009      
AR
024    7_
$a 10.21101/cejph.a4451 $2 doi
035    __
$a (PubMed)29346857
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xr
100    1_
$a Forejt, Martin, $u Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic $d 1976- $7 xx0031862
245    10
$a Higher energy intake variability as predisposition to obesity: novel approach using interquartile range / $c M. Forejt, Z. D. Brázdová, J. Novák, F. Zlámal, M. Forbelská, P. Bienert, P. Mořkovská, M. Zavřelová, A. Pohořalá, M. Jurášková, N. Salah, J. Bienertová-Vašků
520    9_
$a OBJECTIVE: It is known that total energy intake and its distribution during the day influences human anthropometric characteristics. However, possible association between variability in total energy intake and obesity has thus far remained unexamined. This study was designed to establish the influence of energy intake variability of each daily meal on the anthropometric characteristics of obesity. METHODS: A total of 521 individuals of Czech Caucasian origin aged 16–73 years (390 women and 131 men) were included in the study, 7-day food records were completed by all study subjects and selected anthropometric characteristics were measured. The interquartile range (IQR) of energy intake was assessed individually for each meal of the day (as a marker of energy intake variability) and subsequently correlated with body mass index (BMI), body fat percentage (%BF), waist-hip ratio (WHR), and waist circumference (cW). RESULTS: Four distinct models were created using multiple logistic regression analysis and backward stepwise logistic regression. The most precise results, based on the area under the curve (AUC), were observed in case of the %BF model (AUC=0.895) and cW model (AUC=0.839). According to the %BF model, age (p<0.001) and IQR-lunch (p<0.05) seem to play an important prediction role for obesity. Likewise, according to the cW model, age (p<0.001), IQR-breakfast (p<0.05) and IQR-dinner (p <0.05) predispose patients to the development of obesity. The results of our study show that higher variability in the energy intake of key daily meals may increase the likelihood of obesity development. CONCLUSIONS: Based on the obtained results, it is necessary to emphasize the regularity in meals intake for maintaining proper body composition.
650    _2
$a mladiství $7 D000293
650    _2
$a dospělí $7 D000328
650    _2
$a senioři $7 D000368
650    _2
$a index tělesné hmotnosti $7 D015992
650    _2
$a Česká republika $x epidemiologie $7 D018153
650    _2
$a dieta $x metody $x statistika a číselné údaje $7 D004032
650    _2
$a dietní záznamy $7 D015930
650    12
$a energetický příjem $7 D002149
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a lidé $7 D006801
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a lidé středního věku $7 D008875
650    _2
$a obezita $x epidemiologie $7 D009765
650    _2
$a obvod pasu $7 D055105
650    _2
$a poměr pasu a boků $x statistika a číselné údaje $7 D049629
650    _2
$a mladý dospělý $7 D055815
655    _2
$a časopisecké články $7 D016428
700    1_
$a Brázdová, Zuzana, $u Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic $d 1957- $7 mzk2002113251
700    1_
$a Novák, Jan $u Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic $7 xx0209446
700    1_
$a Zlámal, Filip $u Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic $7 xx0225075
700    1_
$a Forbelská, Marie $u Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic $7 mzk2009517387
700    1_
$a Bienert, Petr $u Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic $7 xx0094359
700    1_
$a Mořkovská, Petra $u Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Zavřelová, Miroslava, $u Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic $d 1954- $7 xx0079437
700    1_
$a Pohořalá, Aneta $u Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic $7 xx0225005
700    1_
$a Jurášková, Miluše $u Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic $7 xx0121927
700    1_
$a Salah, Nabil $u Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic $7 xx0224990
700    1_
$a Dobrovolná, Julie, $u Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic $d 1979- $7 xx0106895
773    0_
$w MED00001083 $t Central European journal of public health $x 1210-7778 $g Roč. 25, č. 4 (2017), s. 321-325
856    41
$u https://pubmed.ncbi.nlm.nih.gov/29346857 $y Pubmed
910    __
$a ABA008 $b B 1829 $c 562 $y 4 $z 0
990    __
$a 20180514 $b ABA008
991    __
$a 20180524083803 $b ABA008
999    __
$a ok $b bmc $g 1303691 $s 1012912
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2017 $b 25 $c 4 $d 321-325 $i 1210-7778 $m Central European Journal of Public Health $n Cent. Eur. J. Public Health $x MED00001083
LZP    __
$b NLK118 $a Pubmed-20180514

Najít záznam

Citační ukazatele

Možnosti archivace