Table 6.

Analysis of the incidence of polypharmacy under different influencing factors.

Influencing factors		Number of patients	Corrected number of patients	Number of patients with polypharmacy	Proportion of polypharmacy (%)	Univariable analysis		Multivariable analysis
						OR (95% CI)	P	OR (95% CI)	P
Gender	Male	206	197	81	41.12	1.110 (0.743, 1.658)	.610
	Female	205	202	78	38.61	Ref
Age	60 to 69	165	160	50	31.25	Ref		Ref
	70 to 79	178	174	76	43.68	1.706 (1.089,2.673)	.020	1.200 (0.623, 2.309)	.586
	≥80	68	65	33	50.77	2.269 (1.258,4.093)	.007	1.105 (0.447, 2.735)	.828
Occupation	Worker	84	84	46	54.76	1.000 (0.475, 2.105)	1.000	1.044 (0.379, 2.872)	.934
	Famer	208	201	58	28.86	0.335 (0.170, 0.661)	.002	0.590 (0.185, 1.879)	.372
	Administrative worker	30	28	9	32.14	0.391 (0.144, 1.063)	.066	0.528 (0.134, 2.079)	.361
	Service industry	24	24	11	45.83	0.699 (0.255, 1.913)	.486	0.698 (0.167, 2.921)	.622
	Intellectuals	23	20	12	60.00	1.239 (0.420, 3.654)	.698	0.289 (0.057, 1.457)	.133
	Others	42	42	23	54.76	Ref		Ref
Fully retire at home	Yes	355	343	138	40.23	1.122 (0.627,2.009)	.699
	No	56	56	21	37.50	Ref
Living situation	Living with children	211	205	69	33.66	0.586 (0.391, 0.878)	.010	0.547 (0.295, 1.013)	.055
	Living alone and other situations	200	194	89	45.88	Ref		Ref
Attention from family members	High	229	224	82	36.61	0.611 (0.299, 1.252)	.178
	Medium	143	140	60	42.86	0.794 (0.378, 1.669)	.543
	Low	39	35	17	48.57	Ref
Education background	Illiteracy	29	29	10	34.48	0.436 (0.171, 1.112)	.082	0.382 (0.090, 1.619)	.192
	Primary school	223	219	66	30.14	0.357 (0.193, 0.659)	.001	0.362 (0.128, 1.023)	.055
	Junior high school	102	98	53	54.08	1.016 (0.519, 1.988)	.964	0.676 (0.246, 1.861)	.449
	High school and above	57	53	29	54.72	Ref		Ref
Marital status	With partner	364	353	137	38.81	0.692 (0.373,1.282)	.242
	No partner	47	46	22	47.83	Ref
Household registration	City	194	189	95	50.26	2.207 (1.467,3.321)	<.001	1.104 (0.367, 3.325)	.860
	Rural area	217	210	65	30.95	Ref		Ref
Economic status	<12,000 yuan/yr	203	197	64	32.49	0.369 (0.218, 0.624)	<.001	0.878 (0.295, 2.613)	.815
	12,000 to 36,000 yuan/yr	122	119	48	40.34	0.518 (0.293, 0.914)	.023	0.413 (0.165, 1.033)	.059
	>36,000 yuan/yr	86	83	47	56.63	Ref		Ref
Medical insurance type	Urban residents’ medical insurance	102	97	33	34.02	Ref		Ref
	Urban employee medical insurance	136	133	71	53.38	2.221 (1.293, 3.814)	.004	1.387 (0.587, 3.273)	.456
	Rural cooperative medical	173	169	55	32.54	0.936 (0.551, 1.588)	.805	1.140 (0.439, 2.958)	.788
Religious belief	Yes	17	15	4	26.67	0.537 (0.168, 1.718)	.295
	No	394	384	155	40.36	Ref
Knowing of own disease status	Familiar	90	88	40	45.45	1.625 (0.821, 3.218)	.164
	Basically know	260	252	100	39.68	1.262 (0.696, 2.288)	.444
	Did not know	61	59	30	50.85	Ref
Visiting a doctor or follow-up regularly	Yes	118	115	65	56.52	Ref		Ref
	Occasionally	182	178	61	34.27	0.401 (0.248, 0.649)	<.001	0.433 (0.205, 0.917)	.029
	No	111	106	33	31.13	0.348 (0.200, 0.604)	<.001	0.377 (0.150, 0.944)	.037
Regularly monitor disease indicators	Yes	85	83	44	53.01	Ref		Ref
	Occasionally	223	217	84	38.71	0.560 (0.336, 0.933)	.026	1.424 (0.642, 3.157)	.385
	No	103	99	31	31.31	0.404 (0.221, 0.740)	.003	0.846 (0.309, 2.314)	.745
Number of cases		411	399	159	39.85	4.191 (3.158, 5.562)	<.001	4.453 (3.227, 6.147)	<.001