PMID- 36079805
OWN - NLM
STAT- MEDLINE
DCOM- 20220912
LR  - 20230308
IS  - 2072-6643 (Electronic)
IS  - 2072-6643 (Linking)
VI  - 14
IP  - 17
DP  - 2022 Aug 28
TI  - The Intake of Ultra-Processed Foods and Prevalence of Chronic Kidney Disease: The 
      Health Examinees Study.
LID - 10.3390/nu14173548 [doi]
LID - 3548
AB  - Emerging evidence links several health outcomes to the consumption of 
      ultra-processed food (UPF), but few studies have investigated the association 
      between UPF intake and kidney function. This cross-sectional study investigated 
      the prevalence of chronic kidney disease (CKD) in relation to UPF intake in 
      Korea. Data were obtained from the 2004-2013 Health Examinees (HEXA) study. The 
      intake of UPF was assessed using a 106-item food frequency questionnaire and 
      evaluated using the NOVA classification. The prevalence of CKD was defined as an 
      estimated glomerular filtration rate (eGFR) of <60 mL/min/m2. Poisson regression 
      models were used to compute the prevalence ratios (PR) of CKD according to 
      quartiles of the proportion of UPF intake (% food weight). A total of 134,544 
      (66.4% women) with a mean age of 52.0 years and an eGFR of 92.7 mL/min/m2 were 
      analysed. The median proportion of UPF in the diet was 5.6%. After adjusting for 
      potential confounders, the highest quartile of UPF intake was associated with the 
      highest prevalence of CKD (PR 1.16, 95% CI 1.07-1.25), and every IQR (6.6%) 
      increase in the proportion of UPF in the diet was associated with a 6% higher 
      prevalence of CKD (PR 1.06, 95% CI 1.03-1.09). Furthermore, the highest 
      consumption of UPF was inversely associated with eGFR (Q4 vs. Q1: beta -1.07, 95% CI 
      -1.35, -0.79; per IQR increment: (beta -0.45, 95% CI -0.58, -0.32). The intake of 
      UPF was associated with a high prevalence of CKD and a reduced eGFR. Longitudinal 
      studies in the Korean population are needed to corroborate existing findings in 
      other populations.
FAU - Kityo, Anthony
AU  - Kityo A
AUID- ORCID: 0000-0001-9212-1413
AD  - Department of Preventive Medicine, College of Medicine, Kangwon National 
      University, 1 Gangwondeahakgil, Chuncheon-si 24341, Korea.
FAU - Lee, Sang-Ah
AU  - Lee SA
AUID- ORCID: 0000-0002-5079-9733
AD  - Department of Preventive Medicine, College of Medicine, Kangwon National 
      University, 1 Gangwondeahakgil, Chuncheon-si 24341, Korea.
AD  - Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon 
      National University, 1 Gangwondeahakgil, Chuncheon 24341, Gangwon, Korea.
LA  - eng
PT  - Journal Article
DEP - 20220828
PL  - Switzerland
TA  - Nutrients
JT  - Nutrients
JID - 101521595
SB  - IM
MH  - Cross-Sectional Studies
MH  - Diet/adverse effects
MH  - *Fast Foods/adverse effects
MH  - Female
MH  - Food Handling
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Prevalence
MH  - *Renal Insufficiency, Chronic/epidemiology
PMC - PMC9460585
OTO - NOTNLM
OT  - FFQ
OT  - glomerular filtration rate
OT  - kidney function
OT  - ultra-processed food
COIS- The authors declare no conflict of interest.
EDAT- 2022/09/10 06:00
MHDA- 2022/09/14 06:00
PMCR- 2022/08/28
CRDT- 2022/09/09 01:25
PHST- 2022/07/19 00:00 [received]
PHST- 2022/08/19 00:00 [revised]
PHST- 2022/08/26 00:00 [accepted]
PHST- 2022/09/09 01:25 [entrez]
PHST- 2022/09/10 06:00 [pubmed]
PHST- 2022/09/14 06:00 [medline]
PHST- 2022/08/28 00:00 [pmc-release]
AID - nu14173548 [pii]
AID - nutrients-14-03548 [pii]
AID - 10.3390/nu14173548 [doi]
PST - epublish
SO  - Nutrients. 2022 Aug 28;14(17):3548. doi: 10.3390/nu14173548.