校园欺凌与女生月经初潮年龄提前的相关性

周可静; 熊华利; 唐大乂

doi:10.16835/j.cnki.1000-9817.2023.09.017

校园欺凌与女生月经初潮年龄提前的相关性

doi: 10.16835/j.cnki.1000-9817.2023.09.017

1.
重庆市荣昌区疾病预防控制中心食品卫生与环境卫生科，重庆 402460
2.
牡丹江医学院第一临床学院

基金项目:

重庆市荣昌区卫生健康委卫生计划项目荣卫发〔2022〕第43号

详细信息

作者简介:
周可静(1989-)，女，重庆市荣昌人，大学本科，主管医师，主要从事学校卫生工作

通讯作者:
熊华利，E-mail：woaibbs@126.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: G478 R179 G444
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- 被引次数: 0
出版历程
- 收稿日期: 2023-05-19
- 修回日期: 2023-07-04
- 网络出版日期: 2023-09-28
- 刊出日期: 2023-09-25

Association between school bullying and the early age at menarche among girls

1.
Department of Food Hygiene and Environmental Hygiene, Chongqing Rongchang District Center for Disease Control and Prevention, Chongqing (402460), China

摘要

摘要: 目的分析校园欺凌与女生月经初潮年龄(age at menarche, AAM)提前的相关性，为促进女生青春期健康成长提供参考。方法 2022年4月采用分层随机整群抽样的方法，在重庆市荣昌区全区范围内选择987名月经来潮中学女生为调查对象，开展问卷调查和体格检查。使用t检验，方差分析，Dunnett-t检验分析经历校园欺凌与AAM的组间差异，采用多因素Logistic回归分析经历校园欺凌与AAM提前的相关性。结果 987名月经来潮女生的平均AAM为(12.13±1.03)岁，AAM提前检出率为22.90%。未经历欺凌事件与经历欺凌事件女生的AAM分别为(12.18±0.96)(11.86±1.44)岁，差异有统计学意义(t=3.71，P<0.01)；经历1，2，3种及以上校园欺凌事件的平均AAM分别为(12.08±1.38)(11.74±1.07)(11.61±1.63)岁；未经历校园欺凌事件与经历1，2，3种及以上女生的AAM差异有统计学意义(F=6.99，P<0.01)。多因素Logistic回归分析发现，调整混杂因素后，经历校园欺凌事件(OR=2.71，95%CI=2.04~4.27)、被有意排斥在集体活动之外或被孤立(OR=2.58，95%CI=1.69~4.67)、被打、踢、推、挤或关在屋里(OR=2.85，95%CI=1.39~4.92)、因为身体缺陷或长相而被取笑(OR=2.74，95%CI=1.77~5.02)、经历1种校园欺凌事件(OR=2.33，95%CI=1.52~4.23)、经历2种校园欺凌事件(OR=3.36，95%CI=1.82~7.36)、经历3种及以上校园欺凌事件(OR=2.89，95%CI=1.74~5.71)均与女生AAM提前相关(P值均<0.05)。结论校园欺凌与女生AAM提前相关，加强学校防欺凌教育对于促进女生青春期健康生长发育具有重要意义。
- 暴力 /
- 月经初潮 /
- 回归分析 /
- 学生 /
- 女(雌)性
Abstract: Objective To analyze the correlation between school bullying and the age at menarche (AAM) in girls, so as to provide references for promoting the healthy growth of girls in puberty. Methods In April 2022, a total of 987 middle school girls with onset of menarche in Rongchang District of Chongqing were selected by using a stratified random cluster sampling method to carry out a questionnaire survey and physical examination. The t-tests, variance analysis and Dunnett-t tests were conducted to analyze the differences between individuals who experienced different types of school bullying and AAM. Multivariate Logistic regression analysis was conducted to analyze the association between school bullying and the early age at menarche. Results The average AAM of 987 girls was (12.13±1.03) years, and 22.90% of them had early AAM. The AAM of those who did not experience bullying events (12.18±0.96) varied significantly with those who experienced bullying events (11.86±1.44) (t=3.71, P<0.01). The average AAM of individuals who experienced 1, 2, 3 or more school bullying events was (12.08±1.38, 11.74±1.07, 11.61±1.63) years old, respectively. There was a statistically significant difference in AAM between girls who did not experience school bullying and those who experienced 1, 2, 3 or more types of school bullying (F=6.99, P<0.01). Multivariate Logistic regression analysis found that after adjusting confounding factors, experiencing school bullying (OR=2.71, 95%CI=2.04-4.27), being deliberately excluded from collective activities or being isolated (OR=2.58, 95%CI=1.69-4.67), being kicked, pushed or locked in the house (OR=2.85, 95%CI=1.39-4.92), being teased due to physical defects or appearance (OR=2.74, 95%CI=1.77-5.02), experiencing one school bullying event (OR=2.33, 95%CI=1.52-4.23), and experiencing two school bullying events (OR=3.36, 95%CI=1.82-7.36), and experiencing three or more school bullying events (OR=2.89, 95%CI=1.74-5.71) were associated with the early age at menarche (P<0.05). Conclusion School bullying is related to the earlier AAM among girls. Strengthening school anti-bullying education might be helpful for promoting girls' healthy growth and development in adolescence.
- Violence /
- Menarche /
- Regression analysis /
- Students /
- Female
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表 1 不同组别女生AAM提前检出率比较

Table 1. Comparison on detection rate of early age at menarche among different groups

组别	人数	AAM提前检出人数	χ²值	P值
年龄/岁
12~15	558	161(28.85)	25.79	<0.01
16~18	429	65(15.15)
家庭结构
和父母同时居住	511	113(22.11)	0.37	0.54
其他类型	476	113(23.74)
住校
否	256	82(32.03)	16.33	<0.01
是	731	144(19.70)
吃油炸食物频率/(次·d^-1)
0	316	67(21.20)	0.50	0.48
<1	626	149(23.80)
≥1	45	10(22.22)
喝含糖饮料频率/(次·d^-1)
0	250	50(20.00)	1.95	0.16
<1	658	155(23.56)
≥1	79	21(26.58)
吃新鲜水果频率/(次·d^-1)
0	105	24(22.86)	1.51	0.22
<1	380	82(21.58)
1	378	83(21.96)
≥2	124	37(29.84)
吃新鲜蔬菜频率/(次·d^-1)
0	83	19(22.89)	0.32	0.58
<1	177	54(30.51)
1	429	78(18.18)
≥2	298	75(25.17)
每天吃早餐情况
不吃	19	7(36.84)	4.75	0.03
有时吃	208	56(26.92)
天天吃	760	163(21.45)
BMI分类
消瘦	20	3(15.00)	22.46	<0.01
正常	729	143(19.62)
超重	178	54(30.34)
肥胖	60	26(43.33)
高血压
否	711	140(19.69)	14.81	<0.01
是	276	86(31.16)
经历校园欺凌事件
否	825	165(20.00)	23.91	<0.01
是	162	61(37.65)
被恶意取笑
从未	876	180(20.55)	24.36	<0.01
有时/经常	111	46(41.44)
被索要财物
从未	953	213(22.35)	4.69	0.03
有时/经常	34	13(38.24)
被有意排斥在集体活动之外或被孤立
从未	915	198(21.64)	11.25	<0.01
有时/经常	72	28(38.89)
被威胁恐吓
从未	947	211(22.28)	5.04	0.03
有时/经常	40	15(37.50)
被打、踢、推、挤或关在屋里
从未	961	215(22.37)	5.70	0.02
有时/经常	26	11(42.31)
因为身体缺陷或长相而被取笑
从未	920	199(21.63)	12.33	<0.01
有时/经常	67	27(40.30)
校园欺凌事件合计/种
0	825	165(20.00)	21.88	<0.01
1	76	26(34.21)
2	35	15(42.86)
≥3	51	20(39.22)
注：()内数字为检出率/%。

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表 2 校园欺凌与女生AAM提前的Logistic回归分析(n=987)

Table 2. Logistic analysis between school bullying and early AAM among girls(n=987)

自变量	选项	模型1				模型2
自变量	选项	β值	标准误	Wald χ²值	OR值(95%CI)	β值	标准误	Wald χ²值	OR值(95%CI)
经历校园欺凌事件	是	0.88	0.18	5.81	2.42(1.68~3.47)^*	0.99	0.23	7.34	2.71(2.04~4.27)^*
被恶意取笑	有时/经常	1.01	0.21	6.64	2.74(1.81~4.13)^*	0.21	0.30	9.41	1.23(0.82~2.21)
被索要财物	有时/经常	0.77	0.36	11.42	2.15(1.06~4.37)^*	0.30	0.29	9.04	1.35(0.68~2.37)
被有意排斥在集体活动之外或被孤立	有时/经常	0.84	0.26	8.06	2.30(1.40~3.80)^*	0.95	0.30	9.56	2.58(1.69~4.67)^*
被威胁恐吓	有时/经常	0.74	0.34	10.61	2.09(1.08~4.04)^*	0.21	0.22	6.85	1.23(0.79~1.89)
被打踢推挤或关在屋里	有时/经常	0.93	0.41	12.79	2.54(1.15~5.62)^*	1.05	0.28	8.80	2.85(1.39~4.92)^*
因为身体缺陷或长相而被取笑	有时/经常	0.89	0.26	8.27	2.45(1.46~4.08)^*	1.01	0.31	9.78	2.74(1.77~5.02)^*
经历校园欺凌事件/种	1	0.73	0.26	8.12	2.08(1.26~3.44)^*	0.85	0.31	9.63	2.33(1.52~4.23)^*
	2	1.10	0.35	9.71	3.00(1.50~5.99)^*	1.21	0.40	12.65	3.36(1.82~7.36)^*
	≥3	0.95	0.30	10.01	2.58(1.43~4.64)^*	1.06	0.35	10.99	2.89(1.74~5.71)^*
注：模型1为未调整混杂因素，模型2为调整年龄、家庭结构、住校、饮食情况、BMI分类、高血压因素；*P<0.05。

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