Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates

Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yanmei Shen [verfasserIn] Xingyue Jin [verfasserIn] Yaru Zhang [verfasserIn] Chunxiang Huang [verfasserIn] Jianping Lu [verfasserIn] Xuerong Luo [verfasserIn] Xiang Yang Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Chinese college students risk factors prevalence internet addiction IA insomnia

Übergeordnetes Werk:	In: Frontiers in Psychiatry - Frontiers Media S.A., 2010, 11(2020)
Übergeordnetes Werk:	volume:11 ; year:2020

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpsyt.2020.596683

Katalog-ID:	DOAJ062248405

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ062248405
003	DE-627
005	20230309020130.0
007	cr uuu---uuuuu
008	230228s2020 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.3389/fpsyt.2020.596683 \|2 doi
035			\|a (DE-627)DOAJ062248405
035			\|a (DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a RC435-571
100	0		\|a Yanmei Shen \|e verfasserin \|4 aut
245	1	0	\|a Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates
264		1	\|c 2020
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk.
650		4	\|a Chinese college students
650		4	\|a risk factors
650		4	\|a prevalence
650		4	\|a internet addiction
650		4	\|a IA
650		4	\|a insomnia
653		0	\|a Psychiatry
700	0		\|a Yanmei Shen \|e verfasserin \|4 aut
700	0		\|a Xingyue Jin \|e verfasserin \|4 aut
700	0		\|a Xingyue Jin \|e verfasserin \|4 aut
700	0		\|a Yaru Zhang \|e verfasserin \|4 aut
700	0		\|a Yaru Zhang \|e verfasserin \|4 aut
700	0		\|a Chunxiang Huang \|e verfasserin \|4 aut
700	0		\|a Chunxiang Huang \|e verfasserin \|4 aut
700	0		\|a Jianping Lu \|e verfasserin \|4 aut
700	0		\|a Xuerong Luo \|e verfasserin \|4 aut
700	0		\|a Xuerong Luo \|e verfasserin \|4 aut
700	0		\|a Xiang Yang Zhang \|e verfasserin \|4 aut
773	0	8	\|i In \|t Frontiers in Psychiatry \|d Frontiers Media S.A., 2010 \|g 11(2020) \|w (DE-627)631498796 \|w (DE-600)2564218-2 \|x 16640640 \|7 nnns
773	1	8	\|g volume:11 \|g year:2020
856	4	0	\|u https://doi.org/10.3389/fpsyt.2020.596683 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a \|z kostenfrei
856	4	0	\|u https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/1664-0640 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 11 \|j 2020

Indexfelder

author_variant	y s ys y s ys x j xj x j xj y z yz y z yz c h ch c h ch j l jl x l xl x l xl x y z xyz
matchkey_str	article:16640640:2020----::nonanhnscleetdnsihnentditopeaecads
hierarchy_sort_str	2020
callnumber-subject-code	RC
publishDate	2020
allfields	10.3389/fpsyt.2020.596683 doi (DE-627)DOAJ062248405 (DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a DE-627 ger DE-627 rakwb eng RC435-571 Yanmei Shen verfasserin aut Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk. Chinese college students risk factors prevalence internet addiction IA insomnia Psychiatry Yanmei Shen verfasserin aut Xingyue Jin verfasserin aut Xingyue Jin verfasserin aut Yaru Zhang verfasserin aut Yaru Zhang verfasserin aut Chunxiang Huang verfasserin aut Chunxiang Huang verfasserin aut Jianping Lu verfasserin aut Xuerong Luo verfasserin aut Xuerong Luo verfasserin aut Xiang Yang Zhang verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 11(2020) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:11 year:2020 https://doi.org/10.3389/fpsyt.2020.596683 kostenfrei https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020
spelling	10.3389/fpsyt.2020.596683 doi (DE-627)DOAJ062248405 (DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a DE-627 ger DE-627 rakwb eng RC435-571 Yanmei Shen verfasserin aut Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk. Chinese college students risk factors prevalence internet addiction IA insomnia Psychiatry Yanmei Shen verfasserin aut Xingyue Jin verfasserin aut Xingyue Jin verfasserin aut Yaru Zhang verfasserin aut Yaru Zhang verfasserin aut Chunxiang Huang verfasserin aut Chunxiang Huang verfasserin aut Jianping Lu verfasserin aut Xuerong Luo verfasserin aut Xuerong Luo verfasserin aut Xiang Yang Zhang verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 11(2020) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:11 year:2020 https://doi.org/10.3389/fpsyt.2020.596683 kostenfrei https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020
allfields_unstemmed	10.3389/fpsyt.2020.596683 doi (DE-627)DOAJ062248405 (DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a DE-627 ger DE-627 rakwb eng RC435-571 Yanmei Shen verfasserin aut Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk. Chinese college students risk factors prevalence internet addiction IA insomnia Psychiatry Yanmei Shen verfasserin aut Xingyue Jin verfasserin aut Xingyue Jin verfasserin aut Yaru Zhang verfasserin aut Yaru Zhang verfasserin aut Chunxiang Huang verfasserin aut Chunxiang Huang verfasserin aut Jianping Lu verfasserin aut Xuerong Luo verfasserin aut Xuerong Luo verfasserin aut Xiang Yang Zhang verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 11(2020) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:11 year:2020 https://doi.org/10.3389/fpsyt.2020.596683 kostenfrei https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020
allfieldsGer	10.3389/fpsyt.2020.596683 doi (DE-627)DOAJ062248405 (DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a DE-627 ger DE-627 rakwb eng RC435-571 Yanmei Shen verfasserin aut Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk. Chinese college students risk factors prevalence internet addiction IA insomnia Psychiatry Yanmei Shen verfasserin aut Xingyue Jin verfasserin aut Xingyue Jin verfasserin aut Yaru Zhang verfasserin aut Yaru Zhang verfasserin aut Chunxiang Huang verfasserin aut Chunxiang Huang verfasserin aut Jianping Lu verfasserin aut Xuerong Luo verfasserin aut Xuerong Luo verfasserin aut Xiang Yang Zhang verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 11(2020) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:11 year:2020 https://doi.org/10.3389/fpsyt.2020.596683 kostenfrei https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020
allfieldsSound	10.3389/fpsyt.2020.596683 doi (DE-627)DOAJ062248405 (DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a DE-627 ger DE-627 rakwb eng RC435-571 Yanmei Shen verfasserin aut Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk. Chinese college students risk factors prevalence internet addiction IA insomnia Psychiatry Yanmei Shen verfasserin aut Xingyue Jin verfasserin aut Xingyue Jin verfasserin aut Yaru Zhang verfasserin aut Yaru Zhang verfasserin aut Chunxiang Huang verfasserin aut Chunxiang Huang verfasserin aut Jianping Lu verfasserin aut Xuerong Luo verfasserin aut Xuerong Luo verfasserin aut Xiang Yang Zhang verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 11(2020) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:11 year:2020 https://doi.org/10.3389/fpsyt.2020.596683 kostenfrei https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2020
language	English
source	In Frontiers in Psychiatry 11(2020) volume:11 year:2020
sourceStr	In Frontiers in Psychiatry 11(2020) volume:11 year:2020
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Chinese college students risk factors prevalence internet addiction IA insomnia Psychiatry
isfreeaccess_bool	true
container_title	Frontiers in Psychiatry
authorswithroles_txt_mv	Yanmei Shen @@aut@@ Xingyue Jin @@aut@@ Yaru Zhang @@aut@@ Chunxiang Huang @@aut@@ Jianping Lu @@aut@@ Xuerong Luo @@aut@@ Xiang Yang Zhang @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	631498796
id	DOAJ062248405
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ062248405</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309020130.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fpsyt.2020.596683</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ062248405</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC435-571</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Yanmei Shen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p &lt; 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Chinese college students</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">risk factors</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prevalence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">internet addiction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">IA</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">insomnia</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Psychiatry</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yanmei Shen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xingyue Jin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xingyue Jin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yaru Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yaru Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chunxiang Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chunxiang Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jianping Lu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xuerong Luo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xuerong Luo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiang Yang Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Psychiatry</subfield><subfield code="d">Frontiers Media S.A., 2010</subfield><subfield code="g">11(2020)</subfield><subfield code="w">(DE-627)631498796</subfield><subfield code="w">(DE-600)2564218-2</subfield><subfield code="x">16640640</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:11</subfield><subfield code="g">year:2020</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fpsyt.2020.596683</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1664-0640</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">11</subfield><subfield code="j">2020</subfield></datafield></record></collection>
callnumber-first	R - Medicine
author	Yanmei Shen
spellingShingle	Yanmei Shen misc RC435-571 misc Chinese college students misc risk factors misc prevalence misc internet addiction misc IA misc insomnia misc Psychiatry Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates
authorStr	Yanmei Shen
ppnlink_with_tag_str_mv	@@773@@(DE-627)631498796
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	RC435-571
illustrated	Not Illustrated
issn	16640640
topic_title	RC435-571 Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates Chinese college students risk factors prevalence internet addiction IA insomnia
topic	misc RC435-571 misc Chinese college students misc risk factors misc prevalence misc internet addiction misc IA misc insomnia misc Psychiatry
topic_unstemmed	misc RC435-571 misc Chinese college students misc risk factors misc prevalence misc internet addiction misc IA misc insomnia misc Psychiatry
topic_browse	misc RC435-571 misc Chinese college students misc risk factors misc prevalence misc internet addiction misc IA misc insomnia misc Psychiatry
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Frontiers in Psychiatry
hierarchy_parent_id	631498796
hierarchy_top_title	Frontiers in Psychiatry
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)631498796 (DE-600)2564218-2
title	Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates
ctrlnum	(DE-627)DOAJ062248405 (DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a
title_full	Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates
author_sort	Yanmei Shen
journal	Frontiers in Psychiatry
journalStr	Frontiers in Psychiatry
callnumber-first-code	R
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2020
contenttype_str_mv	txt
author_browse	Yanmei Shen Xingyue Jin Yaru Zhang Chunxiang Huang Jianping Lu Xuerong Luo Xiang Yang Zhang
container_volume	11
class	RC435-571
format_se	Elektronische Aufsätze
author-letter	Yanmei Shen
doi_str_mv	10.3389/fpsyt.2020.596683
author2-role	verfasserin
title_sort	insomnia in chinese college students with internet addiction: prevalence and associated clinical correlates
callnumber	RC435-571
title_auth	Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates
abstract	Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk.
abstractGer	Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk.
abstract_unstemmed	Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p < 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates
url	https://doi.org/10.3389/fpsyt.2020.596683 https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full https://doaj.org/toc/1664-0640
remote_bool	true
author2	Yanmei Shen Xingyue Jin Yaru Zhang Chunxiang Huang Jianping Lu Xuerong Luo Xiang Yang Zhang
author2Str	Yanmei Shen Xingyue Jin Yaru Zhang Chunxiang Huang Jianping Lu Xuerong Luo Xiang Yang Zhang
ppnlink	631498796
callnumber-subject	RC - Internal Medicine
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.3389/fpsyt.2020.596683
callnumber-a	RC435-571
up_date	2024-07-04T00:53:17.135Z
_version_	1803607759531278336
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ062248405</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309020130.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fpsyt.2020.596683</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ062248405</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ92fbf28b902a4850a9060c25c94ce00a</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC435-571</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Yanmei Shen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: Internet addiction (IA) has gained more and more attention for its negative impact on the subjects' study and daily life. However, in a large sample, there is little research on the association between IA and insomnia in Chinese college students. This study aimed to investigate the prevalence of insomnia and its related risk factors among Chinese college students with IA.Methods: A cross-sectional design was used to investigate 627 Chinese college students with IA. Each student completed a survey on demographic data, Internet addiction (Revised Chinese Internet Addiction Scale), depression (Self-Rating Depression Scale), insomnia (Athens Insomnia Scale), anxiety (Self-Rating Anxiety Scale), and suicidal behavior. Binary logistic regression analysis was employed to adjust for confounding factors.Results: The prevalence of insomnia among students with IA was 54.86%. Compared with IA students without insomnia, IA students with insomnia were more likely to be younger, smoking, drinking, have anxiety, depression, suicidal ideations, suicide plans, and suicide attempts (all p &lt; 0.05). Moreover, drinking [OR, 1.664; 95% confidence interval (CI), 1.139–2.431; p = 0.008], anxiety (OR, 2.321; 95% CI, 1.116–4.826; p = 0.024), and suicidal ideation (OR, 1.942; 95% CI:1.295–2.911; p = 0.001) were independently associated with insomnia in IA students.Conclusions: Insomnia is very common in Chinese IA students. Drinking, anxiety, and suicidal ideation are independently correlated with insomnia. This study provides valuable evidence for school counselors and clinical professionals to assess Internet addiction, insomnia, and suicide risk.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Chinese college students</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">risk factors</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prevalence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">internet addiction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">IA</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">insomnia</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Psychiatry</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yanmei Shen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xingyue Jin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xingyue Jin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yaru Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yaru Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chunxiang Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chunxiang Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jianping Lu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xuerong Luo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xuerong Luo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiang Yang Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Psychiatry</subfield><subfield code="d">Frontiers Media S.A., 2010</subfield><subfield code="g">11(2020)</subfield><subfield code="w">(DE-627)631498796</subfield><subfield code="w">(DE-600)2564218-2</subfield><subfield code="x">16640640</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:11</subfield><subfield code="g">year:2020</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fpsyt.2020.596683</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/92fbf28b902a4850a9060c25c94ce00a</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.frontiersin.org/articles/10.3389/fpsyt.2020.596683/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1664-0640</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">11</subfield><subfield code="j">2020</subfield></datafield></record></collection>
score	7.4011555

Nicht das Richtige dabei?

Schreiben Sie uns!

Insomnia in Chinese College Students With Internet Addiction: Prevalence and Associated Clinical Correlates

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?