Alterations in menstrual characteristics and associated factors in Chinese women post SARS-CoV-2 infection: a cross-sectional study

Table 3 Exploring relationships between menstrual characteristics and pre-existing menstrual history or diagnosed Diseases—A Comprehensive analysis of reported changes in menstruation, period, volume, and dysmenorrhea [n(%)]

History	Group A, n = 442							Group B^{a, b,d}, n = 427	Total
	Menstruation^{a, b,c}		Period^{a, b,c}		Volume^{a, b,c}		Dysmenorrhea^{a, b,c}
	Delayed	Advanced	Prolonged	Shortened	Increased	Decreased	Worsen
Abnormal menstruation	49(19.7)	5(2.0)	19(7.6)	12(4.8)	22(8.8)	38(15.3)	20(8.0)	122(49.0)	249
χ2	5.065		2.856		0.570		0.319	0.003
P	0.079		0.240		0.752		0.573	0.958
Diseases related to menstrual change	15(16.5)	3(3.3)	9(9.9)	5(5.5)	4(4.4)	17(18.7)	4(4.4)	42(46.3)	91
χ2	1.106		2.482		4.392		1.231	0.902
P	0.575		0.289		0.111		0.267	0.342
Chronic disease	11(23.4)	4(8.5)	7(14.9)	3(6.4)	6(12.8)	5(10.6)	5(10.6)	13(27.7) ^d	47
χ2	2.536		5.463		0.947		0.399	9.171
P	0.281		0.065		0.623		0.385	0.002

^a Chi-square test showed no significant variation between groups with or without abnormal menstruation before SARS-CoV-2 infection. ^b Chi-square test showed no significant variation between groups with or without diagnosis of diseases related to the menstrual bleeding patterns and reproductive system before SARS-CoV-2 infection. ^c Chi-square test showed no significant variation between groups with or without diagnosis of chronic diseases before SARS-CoV-2 infection. ^d Chi-square test showed compared with the group without chronic diseases, the proportion of no menstrual changes in the group with chronic diseases was lower (χ2 = 9.171, P = 0.002)

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