Evidence map›Paper›PMID 36168903›Full record

ArticleKorean journal of family medicine2022

Impact of Sleep Duration on Decline in Kidney Function in Adult Patients with Hypertension: A Community-Based Prospective Cohort Study.

Yoon Jun Cha, Ju Young Kim, Eunbyul Cho, Keehyuck Lee, Kiheon Lee, Woo Kyung Bae, Hyejin Lee, Jong Soo Han, Se Young Jung, Sumi Lee

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Article in Korean journal of family medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yoon Jun ChaDepartment of Family Medicine, Seoul National University Hospital, Seoul, Korea.
Ju Young KimDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Eunbyul ChoDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Keehyuck LeeDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Kiheon LeeDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Woo Kyung BaeDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Hyejin LeeDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Jong Soo HanDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Se Young JungDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sumi LeeDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep duration is associated with various health conditions, including chronic kidney disease. However, the association between sleep duration and decline in kidney function in the South Korean population remains unclear. We aimed to investigate the impact of sleep duration on kidney function decline in adult patients with hypertension.

methodsThis cohort study was performed using data obtained from the Korean Genome and Epidemiology Study; 2,837 patients with hypertension who initially had normal kidney function were included. Glomerular filtration rates (GFRs) were estimated at baseline and throughout the 16 years of follow-up. A person was considered to have a decline in kidney function if they had a GFR <60 mL/min/1.73 m2. Sleep duration data were obtained through interviewer-assisted questionnaires. Sleep durations were classified as short (<6 hours), normal (≥6 hours but <9 hours), and long (≥9 hours). The Cox proportional hazards model was applied, with adjustments for covariates.

resultsAfter adjusting for covariates, sleep duration was not associated with a decline in kidney function. However, among men with poorly controlled hypertension at baseline, compared to men with normal sleep durations, men with sleep durations <6 hours had a significantly higher risk of kidney function decline (hazard ratio, 1.56; 95% confidence interval, 1.02-2.36).

conclusionShort sleep duration did not seem to be associated with an increased risk of decline in kidney function; however, it may be a risk factor for the decline in kidney function in men with poorly controlled hypertension.

Indexed as

Decline in Kidney FunctionGlomerular Filtration RateHypertensionSleep

Identifiers

PMID36168903
PMCPMC9532186

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.