Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China

Shi, Jikang; Guo, Yanbo; Li, Zhen; Liang, Zhuoshuai; Pan, Lingfeng; Yu, Yang; Zhu, Wenfei; Shao, Aiyu; Chen, Wenjun; Gao, Chao; Liu, Siyu; Liu, Yawen; Cheng, Yi

doi:10.1186/s12889-022-12722-y

BMC Public Health

Table 2 Univariate factor analysis of multimorbidity

From: Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China

Variables	No Multimorbidity		Multimorbidity		χ²	P
Variables	n	%	n	%	χ²	P
Total	5282	78.8	1424	21.2
Sex
Male	2127	79.5	550	20.5	1.266	0.261
Female	3155	78.3	874	21.7
Age (year)
≤ 64	176	92.1	15	7.9	47.284	< 0.001*
65–69	3162	80.5	767	19.5
70–74	1944	75.2	642	24.8
Ethnicity
Han	5134	78.8	1383	21.2	0.024	0.876
Non-Han	148	78.3	41	21.7
BMI
Underweight	91	89.2	11	10.8	64.783	< 0.001*
Normal	2141	40.5	427	30.0
Overweight	2990	75.5	971	24.5
Obese	60	80.0	15	20.0
Marital status
Married/Cohabitation	32	91.4	3	8.6	7.219	0.027*
Unmarried	4682	79.0	1241	21.0
Divorced/ Separated	568	75.9	180	24.1
Family history of hypertension
No	4803	80.9	1137	19.1	136.24	< 0.001*
Yes	479	62.5	287	37.5
Family history of diabetes
No	4845	79.9	1219	20.1	66.016	< 0.001*
Yes	216	61.9	133	38.1
Educational level
Primary school or below	121	74.7	41	25.3	1.747	0.627
Junior middle school	678	78.7	183	21.3
Senior middle school	1794	78.7	486	21.3
Undergraduate or above	2689	79.0	714	21.0
Occupation
Agriculture	242	75.4	79	24.6	10.973	0.089
Industry	410	80.1	102	19.9
Individual business and service industry	423	81.2	98	18.8
Agency and business unit	483	81.6	109	18.4
Retirement	2842	78.1	796	21.9
Unemployment	533	80.3	131	19.7
Other	349	76.2	109	23.8
Annual income (¥)
< 10,000	436	77.4	127	22.6	3.201	0.362
10,000 ~ 30,000	2197	78.0	620	22.0
30,000 ~ 50,000	2200	79.6	565	20.4
≥ ~ 50,000	449	80.0	112	20.0
Physical exercise
Every day	3895	79.3	1017	20.7	5.898	0.207
3-4 days/week	178	80.9	42	19.1
2-3 days/week	158	79.0	42	21.0
1-2 days/month	31	79.5	8	20.5
Never	1020	76.4	315	23.6
Sleep status
Worse	54	71.1	22	28.9	19.187	0.001*
Poor	453	72.8	169	27.2
Average	1583	78.6	432	21.4
Good	2910	79.9	732	20.1
Excellent	282	80.3	69	19.7
Fatigueness status (time/week)
<1	4210	79.4	1094	20.6	22.183	< 0.001*
1–2	838	79.0	223	21.0
≥ 3	234	68.6	107	31.4
Stay up late
Often	166	77.6	48	22.4	4.675	0.197
Sometimes	391	81.6	88	18.4
Rarely	995	80.0	248	20.0
Never	3730	78.2	1040	21.8
Smoking status
Smoker	743	78.6	202	21.4	0.013	0.909
Non-smoker	4539	85.9	1222	85.8
Status of alcohol drinking				0.0
Drinker	654	80.2	161	19.8	1.215	0.27
Non-drinker	4628	78.6	1263	21.4
Salt taste
Salty	315	73.8	112	26.2	49.292	< 0.001*
Insipid	1028	72.9	383	27.1
Appropriate	3939	80.9	929	19.1
Edible oil taste
Greasy	209	75.2	69	24.8	34.66	< 0.001*
Thin	974	73.2	356	26.8
Appropriate	4099	80.4	999	19.6
Carbonated drinks
Yes	99	89.2	12	10.8	7.332	0.007*
No	5183	78.6	1412	21.4
Fresh fruit consumption
Often/Always	3852	80.6	925	19.4	75.884	< 0.001*
Sometimes	1055	78.0	297	22.0
Rarely/Never	375	65.0	202	35.0
Meat consumption (red meat)
Often/Always	1470	80.4	359	19.6	5.625	0.06
Sometimes	2825	78.6	768	21.4
Rarely/Never	987	76.9	297	23.1
Meat consumption (poultry)
Often/Always	1118	81.3	257	18.7	12.686	0.002*
Sometimes	3002	79.0	799	21.0
Rarely/Never	1162	75.9	368	24.1
Consumption of fish
Often/Always	603	80.7	144	19.3	6.634	0.036*
Sometimes	3080	79.4	801	20.6
Rarely/Never	1599	76.9	479	23.1
Consumption of eggs and beans
Often/Always	3068	80.0	769	20.0	8.208	0.017*
Sometimes	1780	77.5	518	22.5
Rarely/Never	434	76.0	137	24.0
Consumption of milk
Often/Always	2353	79.1	621	20.9	0.412	0.814
Sometimes	1779	78.5	486	21.5
Rarely/Never	1150	78.4	317	21.6
Consumption of rice
Often/Always	4270	79.2	1124	20.8	5.758	0.056
Sometimes	828	78.1	232	21.9
Rarely/Never	184	73.0	68	27.0

*P < 0.05

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ISSN: 1471-2458

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