Quality of life in China rural-to-urban female migrant factory workers: a before-and-after study

Table 5 Gynecological disease and job satisfaction of participants at the baseline survey and at 6-month follow up survey

		*Baseline (N1 = 3344,%)*	*6-month follow up (N2 = 1740,%)*	*Baseline and 6-month follow up* ^a *(N3 = 194,%)*	*Only 6-month follow up* ^b *(N4 = 1546,%)*	*Odds ratio (6-month follow up to baseline)*		P ₁ ^d *value*	P ₂ ^e *value*
		*Baseline (N1 = 3344,%)*	*6-month follow up (N2 = 1740,%)*	*Baseline and 6-month follow up* ^a *(N3 = 194,%)*	*Only 6-month follow up* ^b *(N4 = 1546,%)*	Crude	Adjusted^c(95% CI)	P ₁ ^d *value*	P ₂ ^e *value*
Gynecological disease #	Yes	379(11.3)	222(12.8)	166(85.6)	1352(87.5)	1.144	1.068(0.886, 1.288)	0.135	0.458
Gynecological disease #	No	2965(88.7)	1518(87.2)	28(14.4)	194(12.5)
Job satisfaction##	Satisfied	448(13.4)	389(25.8)	15(8.2)	119(9.0)	2.088	2.104(1.837, 2.408)**	<0.001	0.464
	Neither satisfied nor dissatisfied	2397(71.7)	987(65.4)	127(69.4)	860(64.8)
	Dissatisfied	499(14.9)	134(8.9)	41(22.4)	348(26.2)
	Missing	0	230	11	219

a: Study population who participated both baseline and 6-month follow up assessment.
b: Study population who only participated 6-month follow up.
c: Adjusted for age, education level, marital status and work duration.
d: Comparison of baseline and 6-month values.
e: Comparison of study population who participated both baseline and 6-month follow up assessment and study population who only participated 6-month follow up.
#: Binary Logistic regression model.
##: Ordinal regression model.
**: P < 0.01.

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