Evidence map›Paper›PMID 31469836›Full record

ArticlePloS one2019

Self-reported sleep duration and daytime napping are associated with renal hyperfiltration and microalbuminuria in an apparently healthy Chinese population.

Yingnan Ye, Linxi Zhang, Wenhua Yan, Anping Wang, Weiqing Wang, Zhengnan Gao, Xulei Tang, Li Yan, Qin Wan, Zuojie Luo and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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 10 institutions in 1 country.

Yingnan YeDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0003-4418-7519
Linxi ZhangDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Wenhua YanDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Anping WangDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Weiqing WangShanghai Jiaotong University Affiliated Ruijin Hospital, Shanghai, China.
Zhengnan GaoCenter Hospital of Dalian, Dalian, Liaoning, China.
Xulei TangLanzhou University First Hospital, Lanzhou, Gansu, China.
Li YanZhongshan University Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China.
Qin WanSouthwest Medical University Affiliated Hospital, Luzhou, Sichuan, China.
Zuojie LuoGuangxi Medical University First Affiliated Hospital, Nanning, Guangxi, China.
Guijun QinZhengzhou University First affiliated Hospital, Zhengzhou, Henan, China.
Lulu ChenWuhan Union Hospital, Wuhan, Hubei, China.
Shiqing WangDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Yuxia WangDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Yiming MuDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Nankai University · CNChinese PLA General Hospital · CNAffiliated Hospital of Southwest Medical University · CNFirst Affiliated Hospital of Zhengzhou University · CNFirst Hospital of Lanzhou University · CNGuangxi Medical University · CNRuijin Hospital · CNSeventh People's Hospital of Dalian · CNSun Yat-sen University · CNWuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep duration affects health in various ways. The objective of the present study was to investigate the relationships among sleep duration, daytime napping and kidney function in a middle-aged apparently healthy Chinese population.

methodsAccording to self-reported total sleep and daytime napping durations, 33,850 participants who were 38-90 years old and recruited from eight regional centers were divided into subgroups. Height, weight, waist circumference, hip circumference, blood pressure, biochemical indexes, fasting blood glucose (FBG), postprandial blood glucose (PBG), HbA1c, creatinine and urinary albumin-creatinine ratio (UACR) were measured and recorded for each subject. Microalbuminuria was defined as UACR ≥30 mg/g, chronic kidney disease (CKD) was defined as eGFR <60 ml/min, and hyperfiltration was defined as eGFR ≥135 ml/min. Multiple logistic regression was applied to investigate the association between sleep and kidney function.

resultsCompared to sleeping for 7-8 h/day, the ORs for microalbuminuria for sleeping for >9 h/day, 8-9 h/day 6-7 h/day and <6 h/day were 1.343 (1.228-1.470, P<0.001), 1.223 (1.134-1.320, P<0.001), 1.130 (1.003-1.273, P = 0.045) and 1.140 (0.908-1.431, P = 0.259), respectively. The eGFR levels exhibited a U-shaped association with sleep duration among subjects with an eGFR ≥90 ml/min and an N-shaped association with sleep duration among subjects with an eGFR <90 ml/min. The OR for hyperfiltration for >9 h/day of sleep was 1.400 (1.123-1.745, P = 0.003) among participants with an eGFR ≥90 ml/min. Daytime napping had a negative effect on renal health. Compared to the absence of a napping habit, the ORs for microalbuminuria for 0-1 h/day, 1-1.5 h/day and >1.5 h/day of daytime napping were 1.552 (1.444-1.668, P<0.001), 1.301 (1.135-1.491, P<0.001) and 1.567 (1.353-1.814, P<0.001), respectively.

conclusionThe association of total sleep duration with renal health outcomes is U-shaped. Daytime napping has a negative effect on renal health.

Indexed as

Glomerular Filtration RateHealthy VolunteersSelf ReportAlbuminuriaBlood PressureChinaFemaleHumansKidneyMaleMiddle AgedSleepTime Factors

Identifiers

PMID31469836
PMCPMC6716775
OpenAlexW2970703110

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.