Exploring the medical decision-making patterns and influencing factors among the general Chinese public: a binary logistic regression analysis

Table 2 Demographic and sociological characteristics of the sample population

Variable	Option	Frequency (n)	Percentage (%)
Gender	Male	1052	39.0
Gender	Female	1644	61.0
Age	18-44	2253	83.6
	45-59	408	15.1
	60-74	32	1.2
	75 and above	3	0.1
Education Level	Junior High School and below	753	27.9
	Associate Degree	584	21.7
	Bachelor's Degree and above	1359	50.4
Occupation	Civil Servant	250	9.3
	Corporate Staff	502	18.6
	Enterprise Worker	265	9.8
	Self-employe	181	6.7
	Migrant Worke	85	3.2
	Retiree	31	1.1
	Freelancer	227	8.4
	Public Institution Employe	339	12.6
	Medical Institution Staff	650	24.1
	Unemployed	166	6.2
Monthly Family Income	Below 5,000 yuan (≈ Below $775)	744	27.6
	5,000-8,000 yuan (≈ $775-$1,240)	769	28.5
	8,000-12,000 yuan (≈ $1,240-$1,860)	665	24.7
	12,000-23,000 yuan (≈ $1,860-$3,565)	361	13.4
	Above 23,000 yuan (≈ Above $3,565)	157	5.8
Medical Payment Method	Fully Self-Paid	595	22.1%
	Publicly Funded Medical Care	845	31.3%
	Commercial Insurance	555	20.6%
	Occupational Basic Medical Insurance	1130	41.9%
	Urban Residents' Basic Medical Insurance	659	24.4%
	Rural Residents' Basic Medical Insurance	505	18.7%
Religious Belief	Yes	554	20.5
Religious Belief	No (Atheist)	2142	79.5
Family Situation	Unmarried	771	28.6
	Married without Children	610	22.6
	Widowed/Divorced with Children	70	2.6
	Children studying or working away, couple living together	236	8.8
	Couple living with children	813	30.2
	Elderly-centered, two or more couples and their children living together	106	3.9
	Grandparents living with grandchildren	66	2.4
	Other family types	24	0.9
Total		2696	100.0

ISSN: 1471-2458