Suppr超能文献

生活方式变量对原发性痛经的影响:一项横断面研究。

The Influence of Lifestyle Variables on Primary Dysmenorrhea: A Cross-Sectional Study.

作者信息

Al-Husban Naser, Odeh Omar, Dabit Tala, Masadeh Aya

机构信息

Obstetrics and Gynecology Department, School of Medicine, The University of Jordan, Amman, Jordan.

School of Medicine, The University of Jordan, Amman, Jordan.

出版信息

Int J Womens Health. 2022 Apr 13;14:545-553. doi: 10.2147/IJWH.S338651. eCollection 2022.

Abstract

BACKGROUND

Primary dysmenorrhea is a common and often debilitating, gynaecological condition.

OBJECTIVE

To investigate the effects of specific lifestyle variables on the prevalence and severity of primary dysmenorrhea.

MATERIALS AND METHODS

A cross-sectional study of Jordanian women aged between 18-25 years old utilized a questionnaire as the main instrument of the study.

RESULTS

Primary dysmenorrhea was reported by 660 women out of 1988. It was found that approximately two thirds of them were students. Overall, 54.5% of the participants reported severe dysmenorrhea. A statistically significant correlation was found between severe dysmenorrhea and smoking at value ˂0.001, sleeping less than 7 hours per 24 hours at = 0.005, holding a university degree at = 0.032, non-alcohol consumption at = 0.044, frequent energy, fizzy, tea, coffee drinks and sugar intake. Interestingly, we found that severe dysmenorrhea was statistically significantly associated with women who never eat meat at ˂0.001, cereals and fish consumers and with those who take less than 3 servings of fruit or none at all per week at = 0.006. In addition to the previous variables, water intake of less than 1.0 litre a day, irregular cycles, non-OCP use and positive family history were found significantly associated with severe dysmenorrhea. Severe dysmenorrhea was significantly related to working less hours per week, higher stress level and longer bleeding duration at = 0.021, 0.017 and 0.008, respectively. On the other hand, there was no statistically significant difference found between severe dysmenorrhea and the following variables: age, body mass index (BMI), weekly studying hours and age of menarche.

CONCLUSION

Primary dysmenorrhea is prevalent in the Jordanian population. To overcome severe dysmenorrhea, women should increase their intake of fish and fresh fruits, drinking water and use of oral contraceptive pills. The study concluded that smoking, frequent sugar intake, fizzy drinks, coffee, tea and energy drinks were associated with severe dysmenorrhea. It is also worth mentioning that alcohol consumption had a positive impact on dysmenorrhea.

TRIAL REGISTRATION

Registered in Clinicaltrial.gov (ID: NCT04583943).

摘要

背景

原发性痛经是一种常见且往往使人衰弱的妇科疾病。

目的

研究特定生活方式变量对原发性痛经患病率和严重程度的影响。

材料与方法

一项针对18至25岁约旦女性的横断面研究,以问卷作为主要研究工具。

结果

1988名女性中有660名报告患有原发性痛经。发现其中约三分之二是学生。总体而言,54.5%的参与者报告有严重痛经。在严重痛经与吸烟(P值˂0.001)、每24小时睡眠少于7小时(P = 0.005)、拥有大学学位(P = 0.032)、不饮酒(P = 0.044)、频繁饮用能量饮料、碳酸饮料、茶、咖啡以及糖摄入之间发现了具有统计学意义的相关性。有趣的是,我们发现严重痛经与从不吃肉的女性(P˂0.001)、食用谷物和鱼类的女性以及每周食用水果少于3份或根本不吃水果的女性(P = 0.006)在统计学上有显著关联。除了上述变量外,每天饮水量少于1.0升、月经周期不规律、不使用口服避孕药以及有阳性家族史也与严重痛经显著相关。严重痛经分别与每周工作小时数少、压力水平高和出血时间长(P = 0.021、0.017和0.008)显著相关。另一方面,在严重痛经与以下变量之间未发现统计学上的显著差异:年龄、体重指数(BMI)、每周学习小时数和初潮年龄。

结论

原发性痛经在约旦人群中普遍存在。为了克服严重痛经,女性应增加鱼类和新鲜水果的摄入量、饮水量并使用口服避孕药。该研究得出结论,吸烟、频繁摄入糖、碳酸饮料、咖啡、茶和能量饮料与严重痛经有关。还值得一提的是,饮酒对痛经有积极影响。

试验注册

在Clinicaltrial.gov注册(ID:NCT04583943)。

相似文献

7
Menstruation and its disorders in adolescence.青春期的月经及其紊乱
Curr Probl Pediatr. 1982 Aug;12(10):1-61. doi: 10.1016/0045-9380(82)90034-2.

引用本文的文献

2
Dysmenorrhea and Occupational Factors: Korea Nurses' Health Study.痛经与职业因素:韩国护士健康研究。
J Nurs Manag. 2024 Nov 13;2024:1968522. doi: 10.1155/jonm/1968522. eCollection 2024.

本文引用的文献

1
Thyme Tea and Primary Dysmenorrhea Among Young Female Students.年轻女学生中的百里香茶与原发性痛经
Adolesc Health Med Ther. 2020 Oct 20;11:147-155. doi: 10.2147/AHMT.S280800. eCollection 2020.
7
The relationship between smoking and dysmenorrhea: A meta-analysis.吸烟与痛经之间的关系:一项荟萃分析。
Women Health. 2019 May-Jun;59(5):524-533. doi: 10.1080/03630242.2018.1508541. Epub 2018 Nov 27.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验