Evidence map›Paper›PMID 40604710›Full record

ArticleBMC public health2025

Associations of menstrual characteristics with non-suicidal self-injury: results from six universities in China.

Yanling Shu, Mingyang Wu, Wenhua Wang, Linfei Dou, Zheng Zhang, Lei Zhang, Youjie Wang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yanling Shu *Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, Hubei, 430030, China.
Mingyang Wu *Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Wenhua WangShaanxi Medical Association, #112 Lianhu Road, Xi'an, Xian, 710003, Shaanxi, China.
Linfei DouDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.
Zheng ZhangXiangya School of Medicine, Central South University, Changsha, Hunan, China.
Lei ZhangShaanxi Medical Association, #112 Lianhu Road, Xi'an, Xian, 710003, Shaanxi, China. 21443141@qq.com.
Youjie WangDepartment of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, Hubei, 430030, China. wangyoujie@mails.tjmu.edu.cn.

Funding

Changsha Municipal Natural Science Foundation kq2208302Medical Research Foundation of Shaanxi Medical Association MRFSMA2022001Natural Science Basic Research Program of Shaanxi Province 2024JC-YBQN-0943Natural Science Foundation of Hunan Province 2023JJ40801
6 · The paper itself

Abstract

backgroundThe relationships of menstrual characteristics with non-suicidal self-injury (NSSI), a potential precursor to suicidal behaviors, have rarely been explored. Therefore, we aimed to examine the associations between menstrual characteristics with NSSI among college students in China.

methodsA cross-sectional study was conducted among students from six universities randomly chosen from 57 universities in Shaanxi province, China, using a multistage, random cluster sampling method. Menstrual characteristics including menarche age, menstrual cycle length, and menstrual cycle regularity were evaluated using a self-designed questionnaire, and NSSI was assessed using the Chinese adaptation of Ottawa Self-Injury Inventory. Binary logistic regression models were employed to examine the relationships between menstrual characteristics and NSSI.

resultsA total of 12,192 female students were included in this study. The prevalence of early menarche (≤ 11years), prolonged menstrual cycles (≥ 32 days), and irregular menstrual cycles was 6.7%, 10.2%, and 13.2%, respectively. After adjusting for potential confounders, participants with early menarche (OR, 1.38; 95% CI, 1.03–1.83), prolonged menstrual cycles (OR, 1.57; 95% CI, 1.23-2.00), and irregular menstrual cycles (OR, 1.48; 95% CI, 1.17–1.86) had significantly increased odds of engaging in NSSI in the past 12 months. Moreover, the likelihood of engaging in NSSI increased as the score of menstrual problems increased (P for trend < 0.001).

conclusionsOur findings suggest that early menarche, prolonged and irregular menstrual cycles were associated with elevated likelihood of engaging in NSSI. These results emphasize the need for early awareness and monitoring by families, teachers, and healthcare professionals to address the potential adverse associations between menstrual difficulties and NSSI.

Indexed as

Menstrual CycleSelf-Injurious BehaviorStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMenarcheMenstruation DisturbancesSurveys and QuestionnairesUniversitiesYoung AdultCollege studentsMenarcheMenstrual cycleNon-suicidal self-injury

Identifiers

PMID40604710
PMCPMC12220586

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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.