Evidence map›Paper›PMID 28612266›Full record

SynthesisSleep & breathing = Schlaf & Atmung2018

Daytime napping and risk of type 2 diabetes: a meta-analysis of prospective studies.

Guo-Chong Chen, Meng-Meng Liu, Li-Hua Chen, Jia-Ying Xu, Khemayanto Hidayat, Fu-Rong Li, Li-Qiang Qin

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis 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 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
–field-weighted citation impact
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.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Artificial Light at Night and Type 2 Diabetes Mellitus.Diabetes & metabolism journal · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Sleep Pattern Is Related to Mental Health among Chinese Collegiate Student Athletes.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors.

Guo-Chong ChenDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, 199 Ren'ai Road, Suzhou, 215123, China.
Meng-Meng LiuSuzhou Center for Disease Prevention and Control, Suzhou, China.
Li-Hua ChenDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, 199 Ren'ai Road, Suzhou, 215123, China.
Jia-Ying XuJiangsu Key Laboratory of Radiation Biology, School of Radiation Medicine and Protection, Soochow University, Suzhou, China.
Khemayanto HidayatDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, 199 Ren'ai Road, Suzhou, 215123, China.
Fu-Rong LiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, China.
Li-Qiang QinDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, 199 Ren'ai Road, Suzhou, 215123, China. qinliqiang@suda.edu.cn.

Funding

2016 Jiangsu Province Postgraduate Student Training and Innovation Project KYZZ16_0094China Scholarship Council 201606920054National Natural Science Foundation of China 81471870Natural Science Foundation of Jiangsu Province BK20140372
6 · The paper itself

Abstract

purposeProspective studies reported inconsistent findings on the relationship between daytime napping and risk of type 2 diabetes (T2D). Categorized and dose-response meta-analyses were performed to quantify this relation.

methodsPotentially eligible studies were identified by searching PubMed and Embase databases. Dose-response effects were assessed by the generalized least squares trend estimation and study-specific summary relative risks (RRs) with 95% confidence intervals (CIs) were computed with a random-effects model.

resultsSeven prospective studies including one US, four European, and two Chinese cohorts involving 249,077 participants and 13,237 cases of T2D were included. The overall analyses showed a 17% increased risk of T2D when comparing habitual nappers with non-nappers (RR = 1.17, 95% CI 1.08-1.27). By region, the summary RR was 1.21 (95% CI 1.17-1.26), 1.15 (95% CI 1.03-1.30) and 1.23 (95% CI 0.87-1.73) for the US, European, and Chinese studies, respectively. Limiting to five studies that excluded subjects with known major chronic disorders yielded a summary RR of 1.16 (95% CI 1.03-1.30). A dose-response analysis suggested an 11% (95% CI 7-16%) increased T2D risk for each increment in daytime napping of 30 min/day and, despite no evidence for nonlinearity (P

conclusionsThis meta-analysis suggests that daytime napping is associated with an increased risk of T2D. Given the limited number of cohorts and inconsistency in terms of methodological and population characteristics across these cohorts, residual confounders and/or reverse causality cannot be fully addressed, and our findings should be interpreted with great caution. Future well-designed prospective studies are still warranted.

Indexed as

Diabetes Mellitus, Type 2HumansProspective StudiesRiskRisk FactorsSleepMeta-analysisNappingSleepType 2 diabetes

Identifiers

PMID28612266

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.