Mental health of South Korean adolescents in the COVID-19 Era: Web-based survey focused on suicide-related factors

Kim, Sang Mi; Jeong, Yeong Mi; Park, Hye Seon; Choi, Sulki

doi:10.1186/s13034-023-00658-z

Child and Adolescent Psychiatry and Mental Health

Table 2 Characteristics of the study population (N = 54,948)

From: Mental health of South Korean adolescents in the COVID-19 Era: Web-based survey focused on suicide-related factors

Variable		Healthy adolescents (n = 48,573)			Suicide-ideation adolescents (n = 4003)			Suicide-plan adolescents (n = 1251)			Suicide-attempt adolescents (n = 1121)			χ2
Variable		No	Weighted no	Weighted %	No	Weighted no	Weighted %	No	Weighted no	Weighted %	No	Weighted no	Weighted %	p
Sex	Male	25	1244	53.5	155	75,593	39.6	539	26,365	44.2	382	18,443	34.6	452.84
		880	439		2
	Female	22	1083	46.5	245	115,455	60.4	712	33,303	55.8	739	34,825	65.4	***
		693	465		1
	Middle	25	1160	49.9	198	87,276	45.7	690	30,881	51.8	592	26,247	49.3	28.28
Education level		699	962		0
	High	22	1166	50.1	202	103,772	54.3	561	28,787	48.2	529	27,021	50.7	***
		874	942		3
	Poor	15	743,845	32.0	159	75,191	39.4	521	24,555	41.2	531	25,215	47.3	239.89
		567			8
Academic achievement	Middle	14	713,371	30.6	105	50,541	26.5	339	16,152	27.1	271	12,896	24.2	***
		916			9
	High	18	870,688	37.4	134	65,316	34.2	391	18,961	31.8	319	15,157	28.5
		090			6
	Under high school	8853	401,796	17.3	786	35,023	18.3	225	10,241	17.2	213	9738	18.3	9.77
Fathers’ education level		20	997,547	42.9	168	83,770	43.8	509	25,588	42.9	421	21,623	40.6
		023			5
	Unknown	19	928,561	39.9	153	72,255	37.8	517	23,839	40.0	487	21,908	41.1
		697			2
	Under high school	10	46,541	2.0	962	44,336	23.2	266	12,279	20.6	262	12,792	24.0	33.88
Mothers’ education level		166
	College or higher	19	976,940	42.0	160	78,578	41.1	481	23,833	39.9	423	0.549	38.6	***
		695			8
	Unknown	18	881,423	37.9	143	68,134	35.7	504	23,556	39.5	436	19,927	37.4
		712			3
	With family	46	2244	96.4	377	181951	95.2	117	56,445	94.6	1	48,463	91.0	108.63
		379	820		2			0			011
Living arrangement	Without Family	2194	83,084	3.6	231	9097	4.8	81	3223	5.4	110	4805	9.0	***
Economic Status	Low	5810	268,411	11.5	837	38,224	20.0	273	12,013	20.1	292	13,077	24.5	464.42
	Middle	23	1116	48.0	181	86389	45.2	556	26,273	44.0	447	21,166	39.7	***
		582	796		2
	High	19	942,697	40.5	135	66436	34.8	422	21,383	35.8	382	19,025	35.7
		181			4
	Not at all	14	718,326	30.9	940	46,767	24.5	305	14,820	24.8	256	12,535	23.5	479.25
Economic status changed owing to COVID-19		767
	Really	19	939,020	40.3	153	73,861	38.7	430	20,294	34.0	357	16,852	31.6	***
		518			6
	Changed	11	549,901	23.6	116	53,584	28.0	389	18,160	30.4	333	16,050	30.1
		698			3
	Critically	2590	120,658	5.2	364	16,837	8.8	127	6394	10.7	175	7831	14.7
Financial assistance	No	43	2121	91.1	343	165,410	86.6	105	50,486	84.6	934	45,084	84.6	187.87
		961	168		7			3
	Yes	4612	206,736	8.9	566	25,638	13.4	198	9182	15.4	187	8184	15.4	***
	Adequate average	15	745,642	32.0	671	31,280	16.4	244	11,509	19.3	188	9115	17.1	1046.1
		721												4
Sleep		16	795,703	34.2	126	60,185	31.5	344	16,039	26.9	302	14,316	26.9	***
		750			0
	Inadequa te	16	786,559	33.8	207	99,582	52.1	663	32,121	53.8	631	29,837	56.0
		102			2
	No	43	2096	90.0	330	158675	83.1	102	48,923	82.0	769	36,822	69.1	705.07
Smoking		766	121		8			4
	Yes	4807	231,783	10.0	695	32,373	16.9	227	10,745	18.0	352	16,447	30.9	***
	No	33	1593	68.4	214	102,850	53.8	687	32,578	54.6	475	23,150	43.5	713.53
		285	087		4
Alcohol use
	Yes	15	734,817	31.6	185	88,198	46.2	564	27,090	45.4	646	30,118	56.5	***
		288			9
	No	48	2316	99.5	393	187,475	98.1	122	58,300	97.7	104	49,752	93.4	662.34
Drug use		346	576		1			6			0
	Yes	227	11,328	0.5	72	3573	1.9	25	1368	2.3	81	3516	6.6	***
Smartphone overdependence	No	37	1776	76.3	243	114,313	59.8	809	37,702	63.2	721	33,990	63.8	685.41
		209	021		4
	Yes	11	551883	23.7	156	76,735	40.2	442	21,966	36.8	400	19,278	36.2	***

^*p < .05, **p < .01, ***p < .001

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ISSN: 1753-2000

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