Time-Restricted Feeding and Metabolic Outcomes in a Cohort of Italian Adults.
Mediterranean diet
breakfast
cohort
dyslipidemia
fasting
hypertension
intermittent fasting
metabolic
obesity
time-restricted feeding
Journal
Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595
Informations de publication
Date de publication:
13 May 2021
13 May 2021
Historique:
received:
02
04
2021
revised:
08
05
2021
accepted:
12
05
2021
entrez:
2
6
2021
pubmed:
3
6
2021
medline:
23
7
2021
Statut:
epublish
Résumé
research exploring the effects of food timing and frequency on health and disease is currently ongoing. While there is an increasing body of scientific literature showing the potential health benefits of intermittent fasting (IF) in laboratory settings and in animals, studies regarding IF on humans are limited. Therefore, the objective of this research was to evaluate the relationship between the feeding/fasting time window and metabolic outcomes among adult individuals. dietary and demographic data of 1936 adult subjects living in the south of Italy were examined. Food frequency questionnaires (FFQ) were administered to determine the period of time between the first and the last meal of a typical day. Subjects were then divided into those with a time feeding window lasting more than 10 h, within 8 h (TRF-8) and within 10 h. after adjustment for potential confounding factors related to eating habits (such as adherence to the Mediterranean diet, having breakfast/dinner), TRF-10 was inversely associated with being overweight/obese (OR = 0.05, 95% CI: 0.01, 0.07), hypertension (OR = 0.24, 95% CI: 0.13, 0.45), and dyslipidemias (OR = 0.26, 95% CI: 0.10, 0.63), while TRF-8 only with being overweight/obese (OR = 0.08, 95% CI: 0.04, 0.15) and hypertension (OR = 0.33, 95% CI: 0.17, 0.60). No associations were found with type-2 diabetes. individuals with a restricted feeding time window were less likely to be overweight, obese and hypertensive. Further studies are needed to clearly validate the results of the present study.
Sections du résumé
BACKGROUND
BACKGROUND
research exploring the effects of food timing and frequency on health and disease is currently ongoing. While there is an increasing body of scientific literature showing the potential health benefits of intermittent fasting (IF) in laboratory settings and in animals, studies regarding IF on humans are limited. Therefore, the objective of this research was to evaluate the relationship between the feeding/fasting time window and metabolic outcomes among adult individuals.
METHODS
METHODS
dietary and demographic data of 1936 adult subjects living in the south of Italy were examined. Food frequency questionnaires (FFQ) were administered to determine the period of time between the first and the last meal of a typical day. Subjects were then divided into those with a time feeding window lasting more than 10 h, within 8 h (TRF-8) and within 10 h.
RESULTS
RESULTS
after adjustment for potential confounding factors related to eating habits (such as adherence to the Mediterranean diet, having breakfast/dinner), TRF-10 was inversely associated with being overweight/obese (OR = 0.05, 95% CI: 0.01, 0.07), hypertension (OR = 0.24, 95% CI: 0.13, 0.45), and dyslipidemias (OR = 0.26, 95% CI: 0.10, 0.63), while TRF-8 only with being overweight/obese (OR = 0.08, 95% CI: 0.04, 0.15) and hypertension (OR = 0.33, 95% CI: 0.17, 0.60). No associations were found with type-2 diabetes.
CONCLUSIONS
CONCLUSIONS
individuals with a restricted feeding time window were less likely to be overweight, obese and hypertensive. Further studies are needed to clearly validate the results of the present study.
Identifiants
pubmed: 34068302
pii: nu13051651
doi: 10.3390/nu13051651
pmc: PMC8153259
pii:
doi:
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Références
Autophagy. 2008 May;4(4):524-6
pubmed: 18367868
Nutrients. 2019 Oct 14;11(10):
pubmed: 31614992
J Neuroendocrinol. 2007 Feb;19(2):127-37
pubmed: 17214875
Int J Obes (Lond). 2013 Apr;37(4):604-11
pubmed: 23357955
Circ Res. 2015 Jan 30;116(3):456-67
pubmed: 25634969
Diabetes. 2003 Jan;52(1):1-8
pubmed: 12502486
Int J Obes (Lond). 2019 Sep;43(9):1701-1711
pubmed: 30705391
Obesity (Silver Spring). 2011 Jul;19(7):1374-81
pubmed: 21527892
Proc Natl Acad Sci U S A. 2003 May 13;100(10):6216-20
pubmed: 12724520
Nutr Healthy Aging. 2018 Jun 15;4(4):345-353
pubmed: 29951594
Eur J Sport Sci. 2017 Mar;17(2):200-207
pubmed: 27550719
Proc Natl Acad Sci U S A. 2015 Apr 28;112(17):E2225-34
pubmed: 25870289
Nutrients. 2020 Aug 17;12(8):
pubmed: 32824528
Chronobiol Int. 2014 Feb;31(1):64-71
pubmed: 24094031
Nature. 2019 May;569(7755):260-264
pubmed: 31068725
Nutrients. 2020 Jun 26;12(6):
pubmed: 32604818
Science. 2010 Dec 3;330(6009):1349-54
pubmed: 21127246
J Acad Nutr Diet. 2021 Apr;121(4):738-748
pubmed: 33187926
J Transl Med. 2014 Mar 28;12:79
pubmed: 24674294
Eur J Clin Nutr. 1996 Aug;50(8):513-9
pubmed: 8863011
J Nutrigenet Nutrigenomics. 2013;6(3):154-68
pubmed: 24008923
J Transl Med. 2016 Oct 13;14(1):290
pubmed: 27737674
Chronobiol Int. 2019 Jan;36(1):27-41
pubmed: 30212231
Diabetes Care. 2013 Sep;36(9):2523-9
pubmed: 23637357
Cell Metab. 2012 Jun 6;15(6):848-60
pubmed: 22608008
Int J Endocrinol Metab. 2020 Oct 31;18(4):e107641
pubmed: 33613680
Circulation. 2013 Jul 23;128(4):337-43
pubmed: 23877060
J Nutr. 2017 Sep;147(9):1722-1728
pubmed: 28701389
JAMA Intern Med. 2020 Nov 1;180(11):1491-1499
pubmed: 32986097
Int J Food Sci Nutr. 2021 Jan 4;:1-12
pubmed: 33397167
Eur J Clin Nutr. 2002 Aug;56(8):740-7
pubmed: 12122550
Int J Food Sci Nutr. 2020 Dec 25;:1-11
pubmed: 33356688
Annu Rev Nutr. 2005;25:237-60
pubmed: 16011467
Rev Endocr Metab Disord. 2020 Mar;21(1):35
pubmed: 32072363
Lancet. 2020 Jan 4;395(10217):75-88
pubmed: 31852605
Med Sci Sports Exerc. 2003 Aug;35(8):1381-95
pubmed: 12900694
J Transl Med. 2021 Jan 6;19(1):3
pubmed: 33407612
Int J Food Sci Nutr. 2017 Sep;68(6):757-762
pubmed: 28276908
Br J Nutr. 2012 Aug;108(3):381-92
pubmed: 22676899
Int J Food Sci Nutr. 2015;66(4):426-38
pubmed: 25830946
Clin Obes. 2020 Jun;10(3):e12360
pubmed: 32441491
Proc Natl Acad Sci U S A. 2018 Jul 24;115(30):7789-7794
pubmed: 29987027
Nutrients. 2020 May 09;12(5):
pubmed: 32397384
Eur J Clin Nutr. 2012 Jun;66(6):678-86
pubmed: 22190135
Int J Food Sci Nutr. 2018 Feb;69(1):100-107
pubmed: 28562120
J Am Coll Cardiol. 2019 Jun 18;73(23):3018-3026
pubmed: 31196460
Cell Metab. 2018 Jun 05;27(6):1212-1221.e3
pubmed: 29754952
Proc Natl Acad Sci U S A. 2009 Mar 17;106(11):4453-8
pubmed: 19255424
Chronobiol Int. 2020 May;37(5):673-685
pubmed: 32126839
Lancet. 2018 Nov 10;392(10159):1923-1994
pubmed: 30496105
Cell Metab. 2015 Nov 3;22(5):789-98
pubmed: 26411343
Int J Food Sci Nutr. 2021 Mar;72(2):248-258
pubmed: 32605472
Int J Food Sci Nutr. 2021 Feb;72(1):82-92
pubmed: 32362210
Nutrients. 2020 Dec 29;13(1):
pubmed: 33383648
Mol Biol Rep. 2012 Oct;39(10):9783-9
pubmed: 22714924
Int J Food Sci Nutr. 2019 Nov;70(7):781-795
pubmed: 30843443
Nutrients. 2019 Mar 28;11(4):
pubmed: 30925707
Int J Environ Res Public Health. 2020 Aug 03;17(15):
pubmed: 32756479
Int J Food Sci Nutr. 2017 Aug;68(5):577-586
pubmed: 27919168
Lancet. 2017 Dec 16;390(10113):2627-2642
pubmed: 29029897
Int J Food Sci Nutr. 2019 Sep;70(6):749-758
pubmed: 30764669
J Hum Nutr Diet. 2014 Apr;27 Suppl 2:255-62
pubmed: 23808897
Int J Food Sci Nutr. 2016 Nov;67(7):857-64
pubmed: 27333325
Lancet. 2020 Jan 4;395(10217):65-74
pubmed: 31852602
Appetite. 2009 Feb;52(1):21-6
pubmed: 18694791