Evidence map›Paper›PMID 42152448›Full record

ArticleBMJ open2026

Association between self-reported poor sleep status and ovulation rate in Chinese women with fertility intentions: a multicentre prospective cohort study protocol.

Nian-Jun Su, Juan Huang, Haibo Li, Haiying Chen, Lijing Wang, Shihan Wang, Kali Huang, Jiaxian Wang, Ju Huang, Yang Liao and 10 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Nian-Jun SuGuangdong Women and Children Hospital, Guangzhou, China.
Juan HuangGuangzhou Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0006-6683-2717
Haibo LiDivision of Birth Cohort Study, Fujian Maternity and Child Health Hospital, Fujian Medical University College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fuzhou, China.
Haiying ChenGanzhou People's Hospital, Ganzhou, China.
Lijing WangZhaoqing Maternal and Child Health Care Hospital, Zhaoqing, China.
Shihan WangGuangzhou Medical University, Guangzhou, China.
Kali HuangThe Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jiaxian WangDaLang Hospital of DongGuan, Dongguan, China.
Ju HuangGuangdong Women and Children Hospital, Guangzhou, China.
Yang LiaoZhaoqing Maternal and Child Health Care Hospital, Zhaoqing, China.
Lingling LiQingdao Municipal Hospital Group, Qingdao, China.
Zhengfang XiongDepartment of Reproductive Medicine, Qinghai Provincial People's Hospital, Xining, China.
Haiqin RenShenyang Jinghua Hospital, Shenyang, China.
Beimei LiuDaLang Hospital of DongGuan, Dongguan, China.
Dongli ChenMaternal and Child Health Hospital of Hubei Province, Wuhan, China.
Ning MaHainan Women and Children's Medical Center, Haikou, China.
Lixue YinLanzhou University First Hospital, Lanzhou, China.
Cuiyu HuangGuangdong Women and Children Hospital, Guangzhou, China.
Xiqian ZhangGuangdong Women and Children Hospital, Guangzhou, China.
Fenghua LiuGuangdong Women and Children Hospital, Guangzhou, China liushine2006@163.com.ORCID http://orcid.org/0000-0002-3860-9466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn China, women of childbearing age, who constitute a major demographic of online consumers and professionals in emerging industries are increasingly experiencing significant sleep disturbances. Existing studies have predominantly focused on the association between sleep disorders and polycystic ovary syndrome, often overlooking the independent impact of sleep patterns on ovulatory function in the general population of women attempting conception. Specifically, the synergistic effect of blue light exposure from electronic devices and delayed sleep onset remains underexplored, and evidence regarding the relationship between sleep duration, sleep quality and ovulation rates is insufficient. The primary objective of this study is to investigate the association between sleep habits and ovulation rates among Chinese women with fertility intentions. Second, it aims to determine the correlation between these sleep habits and factors such as screen time, night shift work and regional differences. Third, using a user-friendly sleep monitoring wristband, the study seeks to clarify the quantitative relationship between objective sleep parameters (eg, sleep onset time, sleep efficiency) and ovulation rates in this population. METHODS AND ANALYSIS: This is a 1.5-year multicentre prospective cohort study. Participants will be recruited from at least five reproductive medicine centres in mainland China between May 2025 and December 2026. The study will enrol women aged 20-50 years with fertility intentions. Baseline demographic information and habitual sleep patterns will be assessed through standardised questionnaires, with participants self-reporting their sleep conditions. Prepregnancy biochemical indicators and anthropometric data will be recorded. The primary outcome will be the ovulation rate, with secondary outcomes including pregnancy rate and miscarriage rate. ETHICS AND DISSEMINATION: This research project has been approved by the Clinical Research Ethics Committee of Guangdong Provincial Maternal and Child Health Hospital (Approval No.20250072), and has also received approval from the Primary and Specialty Nursing Committee for implementation and development. All participants will be informed verbally and in writing about the study procedures and objectives prior to signing the consent form. Data confidentiality will be ensured, and participants may withdraw their consent at any stage of the research. The findings will be presented at international conferences and published in peer-reviewed scientific journals.

Indexed as

OvulationAdultChinaEast Asian PeopleFemaleFertilityHumansIntentionMiddle AgedProspective StudiesResearch DesignSelf ReportSleepSleep DurationSleep QualityYoung AdultClinical ProtocolsReproductive medicineSLEEP MEDICINE

Identifiers

PMID42152448
PMCPMC13182357

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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.