Evidence map›Paper›PMID 32938430›Full record

ArticleBMC psychiatry2020

Relationship between sleep duration and sociodemographic characteristics, mental health and chronic diseases in individuals aged from 18 to 85 years old in Guangdong province in China: a population-based cross-sectional study.

Xie Chen, Shi-Bin Wang, Xue-Li Li, Zhuo-Hui Huang, Wen-Yan Tan, Hai-Cheng Lin, Cai-Lan Hou, Fu-Jun Jia

Abstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

Xie ChenGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China.
Shi-Bin WangGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China.
Xue-Li LiGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China.
Zhuo-Hui HuangGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China.
Wen-Yan TanGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China.
Hai-Cheng LinGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China.
Cai-Lan HouGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China. houcl1975@163.com.
Fu-Jun JiaGuangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City, 510000, Guangdong Province, China. jiafujun@gdph.org.cn.

Funding

Natural Science Foundation of China 81803302the Medical Scientific Research Foundation of Guangdong Province of China A2019166the Medical Scientific Research Foundation of Guangdong Province of China No. B2018039, C2018025the Special Fund for Science and Technology of Guangdong Provincial People's Hospital No. 2017lx03
6 · The paper itself

Abstract

backgroundSleep is vital for maintaining individual's physical and mental health. Prior studies have reported close relationships between sleep duration and chronic diseases. However, in China, the prevalence of aberrant sleep duration and the associations between sleep duration and chronic conditions still merit studying in Guangdong province. This study aimed at examining the relationship between sleep duration and multiple dimensions of sociodemographic characteristics, mental health and chronic diseases in Guangdong province in China, with a large population-based data of individuals aged from 18 to 85 years old.

methodsThis study aimed at analyzing the sociodemographic and clinical characteristics of the population in Guangdong province. Multistage stratified cluster sampling was applied for this study. 13,768 participants from Guangdong province were interviewed with standardized assessment tools, including Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder (GAD-7). Basic socio-demographic information, mental health and chronic diseases information were collected. Self-reported sleep duration was classified as three types: short (< 7 h), normative (7-9 h) and long (≥9 h).

resultsThe mean sleep duration was 6.75 ± 1.11 h. Short sleepers had a higher prevalence of chronic diseases, including anemia (6.2%, p = 0.024), gout (2.8%, p = 0.010), hyperlipidemia (3.9%, p = 0.003) and low back pain (5.6%, p = 0.020) than other types of sleeper. Multinomial logistic regression analysis revealed that short sleepers were more likely to have low income level, have depressive symptoms, be ex- or current drinkers and be overweight. Anemia, hyperlipidemia and low back pain were all risk factors for short sleep, while malignant tumor was risky for long sleep.

conclusionsLow income level, drinking status, being overweight, and chronic conditions may be associated with aberrant sleep duration in Guangdong province general population. Short sleepers have a higher risk of suffering from anemia, hyperlipidemia, and low back pain, while long sleepers are more likely to have malignant tumor. Health professionals should value the sleep patterns in general health care and attach importance to conduct further epidemiologic surveys to explore the relationship between sleep duration and health.

Indexed as

Mental HealthSleepAdolescentAdultAgedAged, 80 and overChinaChronic DiseaseCross-Sectional StudiesHumansMiddle AgedYoung AdultChronic diseasesMental healthPopulation-based studySleep duration

Identifiers

PMID32938430
PMCPMC7493355

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.