Evidence map›Paper›PMID 28238100›Full record

ArticleSleep & breathing = Schlaf & Atmung2018

Self-reported sleep duration and daytime napping are associated with renal hyperfiltration in general population.

Miao Lin, Qing Su, Junping Wen, Shichao Wei, Jin Yao, Huibin Huang, Jixing Liang, Liantao Li, Wei Lin, Lixiang Lin and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  6. Observational
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  11. Review
  12. Article
  13. Can Poor Sleep Cause Kidney Disease? Another Step Closer to the Answer.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019
    Article
  14. Article
  15. Observational
4 · The record

Corrections and comments

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

15 authors at 5 institutions in 2 countries.

Miao LinDepartment of Nephrology, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350001, China.
Qing SuDepartment of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong, University School of Medicine, Shanghai, 200092, China.
Junping WenDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China.
Shichao WeiDepartment of Sleep Center, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350001, China.
Jin YaoDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China.
Huibin HuangDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China.
Jixing LiangDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China.
Liantao LiDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China.
Wei LinDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China.
Lixiang LinDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China.
Jieli LuDepartment of Endocrinology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
Yufang BiDepartment of Endocrinology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
Weiqing WangDepartment of Endocrinology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
Guang NingDepartment of Endocrinology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
Gang ChenDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou, 350001, China. Gang.Chen@joslin.harvard.edu.
Fujian Provincial Hospital · CNFujian Medical University · CNRuijin Hospital · CNHarvard University · USShanghai Jiao Tong University · CN

Funding

National Natural Science Foundation of China 81200538National Natural Science Foundation of China 81270874National Natural Science Foundation of China 81570706
6 · The paper itself

Abstract

STUDY

objectivesRenal hyperfiltration (RHF) has emerged as a novel marker of early renal damage in various conditions such as diabetes and metabolic syndrome. Aberrant sleep duration and excessive daytime napping may affect the development of chronic kidney disease (CKD). In this study, the association between sleep duration, daytime napping, and renal hyperfiltration was assessed.

settingThis study was conducted in three communities in China.

participantsA total of 16,119 community volunteers (5735 males and 10,384 females) aged 40-65 years without CKD were included for the study. METHODS AND

resultsParticipants with short sleep duration (<6 h/day) or long sleep duration (≥10 h/day) were at a significantly increased risk of renal hyperfiltration. The fully adjusted ORs (95% CI) were 2.112 (1.107, 4.031) and 2.071 (1.504, 2.853), respectively (P < 0.05). In addition, those who took naps longer than 1.5 h per day had a higher risk of renal hyperfiltration compared with those without napping (OR 1.400, 95% CI 1.018-1.924). Further joint analysis indicated that participants with long sleep duration (≥10 h/day) had a more than twofold increased risk of RHF regardless of nap status compared with those who slept 8-9 h per day without daytime napping. The association between sleep duration or daytime napping and RHF could not be explained by the influence of sleep quality. Additional subgroup analysis showed long sleep duration (≥9 h/day) and long daytime napping (≥1.5 h) were associated with an increased risk of RHF among individuals with good sleep quality.

conclusionSleep duration less than 6 h/day or more than 10 h/day and long daytime napping tend to be associated with an increased risk of renal hyperfiltration in middle-aged general population, and this relationship was independent of diabetes, hypertension, obesity, or poor sleep quality.

Indexed as

Self ReportAdultAgedChinaCross-Sectional StudiesFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedSleepTime FactorsDay napsRenal hyperfiltrationSleep duration

Identifiers

PMID28238100
OpenAlexW2591062894

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.